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CN115437026B - A method and system for formulating a frequency planning scheme for a space-based gravitational wave detector - Google Patents

A method and system for formulating a frequency planning scheme for a space-based gravitational wave detector Download PDF

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CN115437026B
CN115437026B CN202211005308.6A CN202211005308A CN115437026B CN 115437026 B CN115437026 B CN 115437026B CN 202211005308 A CN202211005308 A CN 202211005308A CN 115437026 B CN115437026 B CN 115437026B
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张佳锋
杨震
马晓珊
彭晓东
高辰
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    • G01V7/00Measuring gravitational fields or waves; Gravimetric prospecting or detecting
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/01Satellite radio beacon positioning systems transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/13Receivers
    • G01S19/24Acquisition or tracking or demodulation of signals transmitted by the system
    • G01S19/25Acquisition or tracking or demodulation of signals transmitted by the system involving aiding data received from a cooperating element, e.g. assisted GPS
    • G01S19/254Acquisition or tracking or demodulation of signals transmitted by the system involving aiding data received from a cooperating element, e.g. assisted GPS relating to Doppler shift of satellite signals
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01SRADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S19/00Satellite radio beacon positioning systems; Determining position, velocity or attitude using signals transmitted by such systems
    • G01S19/38Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system
    • G01S19/39Determining a navigation solution using signals transmitted by a satellite radio beacon positioning system the satellite radio beacon positioning system transmitting time-stamped messages, e.g. GPS [Global Positioning System], GLONASS [Global Orbiting Navigation Satellite System] or GALILEO
    • G01S19/42Determining position
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    • G01MEASURING; TESTING
    • G01VGEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
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Abstract

本发明提供了一种天基引力波探测器频率规划方案制定方法及系统,所述天基引力波探测器包括三个卫星组成的卫星编队,每个卫星分别装载两个激光干涉光学平台;所述方法包括:确定优化目标函数和变量约束条件;利用多目标优化算法对优化目标函数求解,构建6种不同主星的偏移频率锁相方案的约束条件和目标函数;采用并行化方式对6种方案进行求解,选择6种方案中持续时间最长的方案作为最终选取的方案;如果多目标优化算法的解有可行解,则计算结束,否则更换多目标优化算法重新计算;本发明的优势在于:采用了分步优化的思想,将频率规划这一复杂问题分步解决并形成闭环,便于复杂全频率规划问题求解并提升求解效率。

Figure 202211005308

The present invention provides a method and system for formulating a space-based gravitational wave detector frequency planning scheme. The space-based gravitational wave detector includes a satellite formation composed of three satellites, and each satellite is respectively loaded with two laser interference optical platforms; The method described includes: determining the optimization objective function and variable constraint conditions; using the multi-objective optimization algorithm to solve the optimization objective function, and constructing the constraint conditions and objective functions of six different main satellite offset frequency phase-locking schemes; The scheme is solved, and the scheme with the longest duration in the 6 schemes is selected as the final selected scheme; if the solution of the multi-objective optimization algorithm has a feasible solution, then the calculation ends, otherwise the multi-objective optimization algorithm is replaced to recalculate; the advantage of the present invention is : The idea of step-by-step optimization is adopted to solve the complex problem of frequency planning step by step and form a closed loop, which facilitates the solution of complex full-frequency planning problems and improves the solution efficiency.

Figure 202211005308

Description

一种天基引力波探测器频率规划方案制定方法及系统A method and system for formulating frequency planning scheme for space-based gravitational wave detectors

技术领域Technical Field

本发明属于计算机技术领域,具体涉及一种天基引力波探测器频率规划方案制定方法及系统。The present invention belongs to the field of computer technology, and in particular relates to a method and system for formulating a frequency planning scheme for a space-based gravitational wave detector.

背景技术Background Art

引力波探测是目前物理学研究的热点问题之一,通过超远距离激光干涉测距的方式探测引力波是近几十年主要研究的方法。探测引力波信号的关键点之一是激光全频段的合理规划,即哪些频段用于测量科学数据,哪些频段用于星间通讯,哪些频段用于星间时钟噪声传递。在任务过程中合理的设定各个卫星上的超稳时钟频率、ADC采样频率,导频频率等等与频率相关的项是目前急需解决的问题。Gravitational wave detection is one of the hot issues in current physics research. Detecting gravitational waves by ultra-long-distance laser interferometry has been the main research method in recent decades. One of the key points in detecting gravitational wave signals is the reasonable planning of the full frequency band of lasers, that is, which frequency bands are used to measure scientific data, which frequency bands are used for intersatellite communication, and which frequency bands are used for intersatellite clock noise transmission. Reasonable setting of ultra-stable clock frequency, ADC sampling frequency, pilot frequency and other frequency-related items on each satellite during the mission is an urgent problem to be solved.

在目前国内外研究中,仅对用于测量科学数据的拍频频段进行了限定并提供了相应的偏移频率设定方案,并没有构建天基引力波探测器中所有关键频率的合理设定方案,特别是超稳时钟频率、ADC采样频率和导频信号频率,这是目前需要解决的问题之一。其中,载波和边频在整个激光功率中的占比对天基引力波探测过程中的读出噪声有较大影响;边频的设定与ADC采样频率、导频频率具有强耦合关系;星间拍频频率也会受到ADC采样频率、导频频率影响,因此在设定这两个频率时需要避开星间拍频频段。在众多约束条件的影响下,需要制定天基引力波探测器全频率规划方案。In current domestic and foreign research, only the beat frequency band used to measure scientific data has been limited and the corresponding offset frequency setting scheme has been provided. No reasonable setting scheme for all key frequencies in space-based gravitational wave detectors has been constructed, especially the ultra-stable clock frequency, ADC sampling frequency and pilot signal frequency. This is one of the problems that need to be solved at present. Among them, the proportion of carrier and sideband in the entire laser power has a great influence on the readout noise in the process of space-based gravitational wave detection; the setting of sideband has a strong coupling relationship with ADC sampling frequency and pilot frequency; the intersatellite beat frequency will also be affected by ADC sampling frequency and pilot frequency, so when setting these two frequencies, it is necessary to avoid the intersatellite beat frequency band. Under the influence of many constraints, it is necessary to formulate a full frequency planning scheme for space-based gravitational wave detectors.

发明内容Summary of the invention

本发明的目的在于克服无法在众多约束条件的影响下,制定天基引力波探测器全频率规划方案的缺陷。The purpose of the present invention is to overcome the defect that it is impossible to formulate a full-frequency planning scheme for a space-based gravitational wave detector under the influence of numerous constraints.

为了实现上述目的,本发明提出了一种天基引力波探测器频率规划方案制定方法,所述天基引力波探测器包括三个卫星组成的卫星编队,每个卫星分别装载两个激光干涉光学平台;所述方法包括:In order to achieve the above object, the present invention proposes a method for formulating a frequency planning scheme for a space-based gravitational wave detector, wherein the space-based gravitational wave detector includes a satellite formation consisting of three satellites, each of which is equipped with two laser interferometer optical platforms; the method includes:

确定优化目标函数和变量约束条件;Determine the optimization objective function and variable constraints;

利用多目标优化算法对优化目标函数求解,构建6种不同主星的偏移频率锁相方案的约束条件和目标函数;采用并行化方式对6种方案进行求解,选择6种方案中持续时间最长的方案作为最终选取的方案;如果多目标优化算法的解有可行解,则计算结束,得到频率规划方案,否则更换多目标优化算法重新计算直至满足变量约束条件;计算结果包括:超稳时钟调制频率、星间拍频频率的下限、星间拍频频率的上限、导频信号频率、ADC采样频率、总读出噪声、调整参数、主光学平台和最长持续时间。The multi-objective optimization algorithm is used to solve the optimization objective function, and the constraints and objective functions of the offset frequency phase-locking schemes of 6 different master satellites are constructed; the 6 schemes are solved in a parallel manner, and the scheme with the longest duration among the 6 schemes is selected as the final selected scheme; if the solution of the multi-objective optimization algorithm has a feasible solution, the calculation is completed and the frequency planning scheme is obtained, otherwise the multi-objective optimization algorithm is replaced and recalculated until the variable constraints are met; the calculation results include: ultra-stable clock modulation frequency, lower limit of intersatellite beat frequency, upper limit of intersatellite beat frequency, pilot signal frequency, ADC sampling frequency, total readout noise, adjustment parameters, main optical platform and maximum duration.

作为上述方法的一种改进,所述方法具体包括:As an improvement of the above method, the method specifically includes:

步骤1:确定优化目标函数,构建变量约束;Step 1: Determine the optimization objective function and construct variable constraints;

所述优化目标函数如下:The optimization objective function is as follows:

Figure BDA0003808898300000021
Figure BDA0003808898300000021

其中,

Figure BDA0003808898300000022
为总读出噪声;fupper为星间拍频频率的上限;flower为星间拍频频率的下限;in,
Figure BDA0003808898300000022
is the total readout noise; f upper is the upper limit of the intersatellite beat frequency; f lower is the lower limit of the intersatellite beat frequency;

所述变量约束如下:The variable constraints are as follows:

Figure BDA0003808898300000023
Figure BDA0003808898300000023

其中:fmod为超稳时钟调制频率;

Figure BDA0003808898300000024
为边频总读出噪声;
Figure BDA0003808898300000025
为载波总读出噪声;Where: f mod is the ultra-stable clock modulation frequency;
Figure BDA0003808898300000024
is the total readout noise of the sideband;
Figure BDA0003808898300000025
is the total carrier read noise;

步骤2:使用多目标优化算法对所述优化目标函数求解;Step 2: Solving the optimization objective function using a multi-objective optimization algorithm;

步骤3:对步骤2求解得到的fupper,flower和fmod进行调整,策略如下:Step 3: Adjust f upper , f lower and f mod obtained in step 2. The strategy is as follows:

Figure BDA0003808898300000026
Figure BDA0003808898300000026

其中,round为四舍五入方法;

Figure BDA0003808898300000027
Figure BDA0003808898300000028
分别表示调整后的fupper,flower和fmod;Among them, round is the rounding method;
Figure BDA0003808898300000027
and
Figure BDA0003808898300000028
represent the adjusted f upper , f lower and f mod respectively;

步骤4:根据

Figure BDA0003808898300000029
Figure BDA00038088983000000210
搜寻合适的fADC和fp并再次更新fmod;其中,fADC为ADC采样频率,fp为导频信号频率;Step 4: According to
Figure BDA0003808898300000029
and
Figure BDA00038088983000000210
Search for suitable f ADC and f p and update f mod again; where f ADC is the ADC sampling frequency and f p is the pilot signal frequency;

步骤4-1:根据

Figure BDA00038088983000000211
获取fADC的最小值
Figure BDA00038088983000000212
根据
Figure BDA00038088983000000213
获取fADC和fp的最大间隔,即1<abs(fADC-fp)<flower;在求解过程中,默认fp<fADC<100MHz;Step 4-1: According to
Figure BDA00038088983000000211
Get the minimum value of f ADC
Figure BDA00038088983000000212
according to
Figure BDA00038088983000000213
Get the maximum interval between f ADC and f p , that is, 1<abs(f ADC -f p )<f lower ; in the solution process, the default is f p <f ADC <100MHz;

步骤4-2:采用穷举的方式获取所有可能的[fmod,fp,fADC]组合;假设共有n组可能的组合,存储为如下矩阵:Step 4-2: Obtain all possible combinations of [f mod ,f p ,f ADC ] in an exhaustive manner; assuming there are n possible combinations, store them in the following matrix:

Figure BDA0003808898300000031
Figure BDA0003808898300000031

选择矩阵中,

Figure BDA0003808898300000032
距离
Figure BDA0003808898300000033
最近的一个组合得到
Figure BDA0003808898300000034
In the selection matrix,
Figure BDA0003808898300000032
distance
Figure BDA0003808898300000033
The most recent combination
Figure BDA0003808898300000034

步骤5:将步骤3调整后的fupper和flower作为步骤5的拍频上下限的输入,输入已有的时序多普勒频移数据,构建6种不同主星的偏移频率锁相方案的约束条件和目标函数;对6种方案进行求解,选择6种方案中,持续时间最长的方案作为最终选取的方案;Step 5: Use f upper and f lower adjusted in step 3 as the input of the upper and lower limits of the beat frequency in step 5, input the existing time-series Doppler frequency shift data, and construct the constraints and objective functions of the offset frequency phase-locking schemes of 6 different primary stars; solve the 6 schemes, and select the scheme with the longest duration among the 6 schemes as the final selected scheme;

步骤6:根据步骤3和步骤4更新后的

Figure BDA0003808898300000035
重新计算总读出噪声,并更新调整参数m;更新调整参数m的方式如下:Step 6: Updated according to Steps 3 and 4
Figure BDA0003808898300000035
The total readout noise is recalculated and the adjustment parameter m is updated; the method for updating the adjustment parameter m is as follows:

Figure BDA0003808898300000036
Figure BDA0003808898300000036

Figure BDA0003808898300000037
Figure BDA0003808898300000037

即通过更新调整参数m的方式,求得更新

Figure BDA0003808898300000038
后的总读出噪声的最小值,更新后的调整参数m记为mnew;That is, by updating the adjustment parameter m, we can obtain the updated
Figure BDA0003808898300000038
The minimum value of the total readout noise after , the updated adjustment parameter m is recorded as m new ;

更新后的解包括:The updated solution includes:

Figure BDA0003808898300000039
Figure BDA0003808898300000039

其中,J0(m)和J1(m)分别表示0阶和1阶贝塞尔函数;mnew为更新后的调整参数m;fp,fADC为步骤4获取的导频频率和ADC采样频率;t为步骤5中获取的最长持续时间;M为步骤5中获取的最长持续时间t所对应选择的主光学平台;RN为步骤6中更新调整参数m后的总读出噪声;Wherein, J 0 (m) and J 1 (m) represent the 0th and 1st order Bessel functions respectively; m new is the updated adjustment parameter m; f p ,f ADC are the pilot frequency and ADC sampling frequency obtained in step 4; t is the maximum duration obtained in step 5; M is the main optical platform selected corresponding to the maximum duration t obtained in step 5; RN is the total readout noise after the adjustment parameter m is updated in step 6;

步骤7:当步骤2中求得的所有最优解都经过步骤3至步骤6处理后,判断是否存在可行解;若是,则可行解即为最终计算结果;否则更换步骤2中采用的多目标优化算法,重新开始执行步骤2;Step 7: After all the optimal solutions obtained in step 2 have been processed through steps 3 to 6, determine whether there is a feasible solution; if so, the feasible solution is the final calculation result; otherwise, replace the multi-objective optimization algorithm used in step 2 and restart step 2;

所述判断是否存在可行解是判断最优解是否符合步骤1的变量约束。The determination of whether there is a feasible solution is to determine whether the optimal solution meets the variable constraints of step 1.

作为上述方法的一种改进,所述步骤2具体为:利用多目标优化算法求解得到n组帕累托最优解,将这些解存入n×4的矩阵中,4列存储顺序为[fmod,flower,fupper,m]。As an improvement of the above method, step 2 is specifically: using a multi-objective optimization algorithm to solve and obtain n groups of Pareto optimal solutions, and storing these solutions in an n×4 matrix, where the 4 columns are stored in the order of [f mod , f lower , f upper , m].

作为上述方法的一种改进,所述多目标优化算法包括NSGA-II算法或MOEAD算法。As an improvement of the above method, the multi-objective optimization algorithm includes NSGA-II algorithm or MOEAD algorithm.

作为上述方法的一种改进,所述三个卫星分别为卫星_1、卫星_2和卫星_3;As an improvement of the above method, the three satellites are satellite_1, satellite_2 and satellite_3;

其中,所述卫星_1包含光学平台A和光学平台B;所述卫星_2包含光学平台C和光学平台D;所述卫星_3包含光学平台E和光学平台F;The satellite 1 includes an optical platform A and an optical platform B; the satellite 2 includes an optical platform C and an optical platform D; the satellite 3 includes an optical platform E and an optical platform F;

所述6种锁相方案为:The six phase-locking schemes are:

第1种:以光学平台A为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台D锁相到光学平台C,光学平台C锁相到光学平台B,光学平台B锁相到光学平台A,光学平台E锁相到光学平台F,光学平台F锁相到光学平台A;Type 1: Optical platform A is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is optical platform D phase-locked to optical platform C, optical platform C phase-locked to optical platform B, optical platform B phase-locked to optical platform A, optical platform E phase-locked to optical platform F, and optical platform F phase-locked to optical platform A.

第2种:以光学平台B为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台E锁相到光学平台F,光学平台F锁相到光学平台A,光学平台A锁相到光学平台B,光学平台D锁相到光学平台C,光学平台C锁相到光学平台B;Type 2: Optical platform B is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is optical platform E phase-locked to optical platform F, optical platform F phase-locked to optical platform A, optical platform A phase-locked to optical platform B, optical platform D phase-locked to optical platform C, and optical platform C phase-locked to optical platform B.

第3种:以光学平台C为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台F锁相到光学平台E,光学平台E锁相到光学平台D,光学平台D锁相到光学平台C,光学平台A锁相到光学平台B,光学平台B锁相到光学平台C;The third type: Optical platform C is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is: optical platform F is phase-locked to optical platform E, optical platform E is phase-locked to optical platform D, optical platform D is phase-locked to optical platform C, optical platform A is phase-locked to optical platform B, and optical platform B is phase-locked to optical platform C.

第4种:以光学平台D为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台A锁相到光学平台B,光学平台B锁相到光学平台C,光学平台C锁相到光学平台D,光学平台F锁相到光学平台E,光学平台E锁相到光学平台D;Type 4: Optical platform D is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is: optical platform A is phase-locked to optical platform B, optical platform B is phase-locked to optical platform C, optical platform C is phase-locked to optical platform D, optical platform F is phase-locked to optical platform E, and optical platform E is phase-locked to optical platform D.

第5种:以光学平台E为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台B锁相到光学平台A,光学平台A锁相到光学平台F,光学平台F锁相到光学平台E,光学平台C锁相到光学平台D,光学平台D锁相到光学平台E;The fifth type: Optical platform E is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is: optical platform B is phase-locked to optical platform A, optical platform A is phase-locked to optical platform F, optical platform F is phase-locked to optical platform E, optical platform C is phase-locked to optical platform D, and optical platform D is phase-locked to optical platform E.

第6种:以光学平台F为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台C锁相到光学平台D,光学平台D锁相到光学平台E,光学平台E锁相到光学平台F,光学平台B锁相到光学平台A,光学平台A锁相到光学平台F。Type 6: Optical platform F is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is: optical platform C is phase-locked to optical platform D, optical platform D is phase-locked to optical platform E, optical platform E is phase-locked to optical platform F, optical platform B is phase-locked to optical platform A, and optical platform A is phase-locked to optical platform F.

作为上述方法的一种改进,所述步骤5的六种不同主星的约束条件如下:As an improvement to the above method, the constraints of the six different primary stars in step 5 are as follows:

第1种:以光学平台A为主光学平台Type 1: Optical platform A as the main optical platform

Figure BDA0003808898300000041
Figure BDA0003808898300000041

其中,f12(t)为卫星1与卫星2之间随时间t变化的时序多普勒频移;f13(t)为卫星1与卫星3之间随时间t变化的时序多普勒频移;f23(t)为卫星2与卫星3之间随时间t变化的时序多普勒频移;△fAB为偏移频率,表示光学平台A的激光频率与光学平台B的激光频率之间的人为设定的固定差值;△fCD为偏移频率,表示光学平台C的激光频率与光学平台D的激光频率之间的人为设定的固定差值;△fEF为偏移频率,表示光学平台E的激光频率与光学平台F的激光频率之间的人为设定的固定差值;△fAF为偏移频率,表示光学平台A的激光频率与光学平台F的激光频率之间的人为设定的固定差值;△fBC为偏移频率,表示光学平台B的激光频率与光学平台C的激光频率之间的人为设定的固定差值;Wherein, f12 (t) is the time-series Doppler shift between satellite 1 and satellite 2 that varies with time t; f13 (t) is the time-series Doppler shift between satellite 1 and satellite 3 that varies with time t; f23 (t) is the time-series Doppler shift between satellite 2 and satellite 3 that varies with time t; △ fAB is the offset frequency, which represents the artificially set fixed difference between the laser frequency of optical platform A and the laser frequency of optical platform B; △ fCD is the offset frequency, which represents the artificially set fixed difference between the laser frequency of optical platform C and the laser frequency of optical platform D; △ fEF is the offset frequency, which represents the artificially set fixed difference between the laser frequency of optical platform E and the laser frequency of optical platform F; △ fAF is the offset frequency, which represents the artificially set fixed difference between the laser frequency of optical platform A and the laser frequency of optical platform F; △ fBC is the offset frequency, which represents the artificially set fixed difference between the laser frequency of optical platform B and the laser frequency of optical platform C;

第2种:以光学平台B为主光学平台Type 2: Optical platform B as the main optical platform

Figure BDA0003808898300000051
Figure BDA0003808898300000051

第3种:以光学平台C为主光学平台Type 3: Optical platform C as the main optical platform

Figure BDA0003808898300000052
Figure BDA0003808898300000052

其中,△fDE为偏移频率,表示光学平台D的激光频率与光学平台E的激光频率之间的人为设定的固定差值;Wherein, △f DE is the offset frequency, which represents the artificially set fixed difference between the laser frequency of optical platform D and the laser frequency of optical platform E;

第4种:以光学平台D为主光学平台Type 4: Optical platform D as the main optical platform

Figure BDA0003808898300000053
Figure BDA0003808898300000053

第5种:以光学平台E为主光学平台Type 5: Optical platform E as the main optical platform

Figure BDA0003808898300000061
Figure BDA0003808898300000061

第6种:以光学平台F为主光学平台Type 6: Optical platform F as the main optical platform

Figure BDA0003808898300000062
Figure BDA0003808898300000062

所述目标函数为The objective function is

max(t)max(t)

其中,t表示持续时间;Where t represents the duration;

将构造好的目标函数和约束条件采用并行化方式对六种方案进行求解,求解算法采用线性规划算法;选择6种方案中,持续时间最长的方案作为最终选取的方案进行保存;保存顺序为[t,M],其中,t表示持续时间,M表示所对应的主光学平台。The constructed objective function and constraint conditions are solved in a parallel manner for the six schemes, and the solving algorithm adopts a linear programming algorithm; the scheme with the longest duration among the six schemes is selected as the final selected scheme and saved; the saving order is [t, M], where t represents the duration and M represents the corresponding main optical platform.

本发明还提供一种天基引力波探测器频率规划方案制定系统,所述天基引力波探测器包括三个卫星组成的卫星编队,每个卫星分别装载两个激光干涉光学平台;所述系统包括:The present invention also provides a frequency planning scheme formulation system for a space-based gravitational wave detector, wherein the space-based gravitational wave detector comprises a satellite formation consisting of three satellites, each satellite being respectively equipped with two laser interferometer optical platforms; the system comprises:

初始化模块,用于确定优化目标函数和变量约束条件;Initialization module, used to determine the optimization objective function and variable constraints;

规划方案计算模块,用于利用多目标优化算法对优化目标函数求解,构建6种不同主星的偏移频率锁相方案的约束条件和目标函数;采用并行化方式对6种方案进行求解,选择6种方案中持续时间最长的方案作为最终选取的方案;如果多目标优化算法的解有可行解,则计算结束,否则更换多目标优化算法重新计算;计算结果包括:超稳时钟调制频率、星间拍频频率的下限、星间拍频频率的上限、导频信号频率、ADC采样频率、总读出噪声和主光学平台。The planning scheme calculation module is used to solve the optimization objective function using a multi-objective optimization algorithm, construct the constraints and objective functions of the offset frequency phase-locking schemes of 6 different master satellites; solve the 6 schemes in a parallel manner, and select the scheme with the longest duration among the 6 schemes as the final selected scheme; if the solution of the multi-objective optimization algorithm has a feasible solution, the calculation ends, otherwise the multi-objective optimization algorithm is replaced and recalculated; the calculation results include: ultra-stable clock modulation frequency, the lower limit of the inter-satellite beat frequency, the upper limit of the inter-satellite beat frequency, the pilot signal frequency, the ADC sampling frequency, the total readout noise and the main optical platform.

与现有技术相比,本发明的优势在于:Compared with the prior art, the advantages of the present invention are:

1、采用了分步优化的思想,将频率规划这一复杂问题分步解决并形成闭环,便于复杂全频率规划问题求解并提升求解效率。1. The idea of step-by-step optimization is adopted to solve the complex problem of frequency planning step by step and form a closed loop, which facilitates the solution of complex full frequency planning problems and improves the solution efficiency.

2、分步优化的过程中,每一步都根据该步的特点选用算法,灵活性高。2. In the process of step-by-step optimization, the algorithm is selected for each step according to the characteristics of that step, which is highly flexible.

3、该方法可以得出多个可行解,科研人员根据实际情况拟定评价准则,便可以快捷简便的在多个可行解中选择符合实际的最优解。3. This method can produce multiple feasible solutions. Researchers can formulate evaluation criteria based on actual conditions, and then quickly and easily select the optimal solution that conforms to reality from multiple feasible solutions.

附图说明BRIEF DESCRIPTION OF THE DRAWINGS

图1所示为全频率规划方案求解流程图;FIG1 shows a flow chart of solving the full frequency planning scheme;

图2所示为偏移频率规划方案求解流程图;FIG2 shows a flow chart of solving the offset frequency planning scheme;

图3所示为时序星间多普勒频移示意图;Figure 3 shows a schematic diagram of the time-series intersatellite Doppler shift;

图4所示为不同主光学平台锁相方案展示。FIG4 shows different main optical platform phase-locking schemes.

具体实施方式DETAILED DESCRIPTION

下面结合附图对本发明的技术方案进行详细的说明。The technical solution of the present invention is described in detail below with reference to the accompanying drawings.

本发明的目的在于提供一种天基引力波探测器频率规划方案制定方法,以解决现有的空间引力波探测中各个光学平台中,激光器全频率的规划方案的制定。The purpose of the present invention is to provide a method for formulating a frequency planning scheme for a space-based gravitational wave detector, so as to solve the problem of formulating a planning scheme for the full frequency of a laser in each optical platform in the existing space gravitational wave detection.

全链路激光频率涉及到星间拍频频率fhet,超稳时钟调制频率fmod,ADC采样频率fADC,,导频信号频率fp四项,其中星间拍频频率fhet会随着时间推移受到星间多普勒频移影响进而动态变化,其余三项在任务运行过程中始终保持不变。The full-link laser frequency involves four items: intersatellite beat frequency f het , ultra-stable clock modulation frequency f mod , ADC sampling frequency f ADC , and pilot signal frequency f p . Among them, the intersatellite beat frequency f het will change dynamically over time due to the influence of the intersatellite Doppler frequency shift, and the other three items remain unchanged during the mission operation.

其中,由于超稳时钟的限制,通常fmod不高于5GHz;fADC,fp的频率由fmod通过除法器生成。Wherein, due to the limitation of ultra-stable clock, f mod is usually not higher than 5 GHz; the frequencies of f ADC and f p are generated by f mod through a divider.

fhet,fmod,fADC,fp四者的耦合关系如下:The coupling relationship among f het , f mod , f ADC and f p is as follows:

Figure BDA0003808898300000071
Figure BDA0003808898300000071

由于导频信号频率通常略低于ADC的采样频率,为了避免由ADC采样导频信号所产出的混叠信号与星间拍频频率重合,有以下约束条件:Since the pilot signal frequency is usually slightly lower than the ADC sampling frequency, in order to avoid the aliasing signal produced by the ADC sampling the pilot signal to coincide with the intersatellite beat frequency, the following constraints are imposed:

Figure BDA0003808898300000072
Figure BDA0003808898300000072

其中,fupper表示星间拍频频率的上限;flower表示星间拍频频率的下限。Wherein, f upper represents the upper limit of the inter-satellite beat frequency; f lower represents the lower limit of the inter-satellite beat frequency.

在整个任务周期中,边频频率等于超稳时钟调制频率fmod,用于在星间传输时钟噪声信息。边频频率占用激光总功率的比例、超稳时钟调制频率fmod和星间拍频频率fhet都会对总读出噪声产生影响。为了保证总读出噪声满足任务指标要求,因此有以下约束:During the entire mission cycle, the sideband frequency is equal to the ultrastable clock modulation frequency f mod , which is used to transmit clock noise information between satellites. The proportion of the sideband frequency to the total laser power, the ultrastable clock modulation frequency f mod , and the intersatellite beat frequency f het will all affect the total readout noise. In order to ensure that the total readout noise meets the mission index requirements, the following constraints are imposed:

Figure BDA0003808898300000081
Figure BDA0003808898300000081

其中,

Figure BDA0003808898300000082
表示总读出噪声,
Figure BDA0003808898300000083
表示载波总读出噪声,
Figure BDA0003808898300000084
表示边频总读出噪声,J0(m)和J1(m)分别表示0阶和1阶贝塞尔函数,m值的大小决定了边频频率在总功率中的占比。通常m∈[0.45,0.64],对应边频占用总功率5%到10%之间。需注意的是,
Figure BDA0003808898300000085
与实际的任务指标相关,在求解过程中,可以进行适应性改变。in,
Figure BDA0003808898300000082
represents the total read noise,
Figure BDA0003808898300000083
represents the total carrier read noise,
Figure BDA0003808898300000084
represents the total readout noise of the sideband, J 0 (m) and J 1 (m) represent the 0th and 1st order Bessel functions respectively, and the value of m determines the proportion of the sideband frequency in the total power. Usually m∈[0.45,0.64], corresponding to the sideband occupying 5% to 10% of the total power. It should be noted that
Figure BDA0003808898300000085
Related to the actual task indicators, adaptive changes can be made during the solution process.

天基引力波探测器运行过程中,涉及到3颗卫星(卫星_1,卫星_2,卫星_3)之间的联动,3颗卫星之间通过激光传输信息,且每颗卫星包含两个光学平台。由于存在星间运动,因此激光频率在星间传输过程中会受到多普勒频移的影响。本地卫星在接收到远端卫星发来的激光后,接收到的激光与本地激光进行干涉从而获取科学运行数据信息。干涉过程中,接收到的激光频率与本地激光频率的差值称之为拍频频率。为了保证拍频频率在合理的范围,即[flower,fupper]之间,需要在弱光锁相过程中加入偏移频率。During the operation of the space-based gravitational wave detector, the linkage between three satellites (Satellite_1, Satellite_2, Satellite_3) is involved. Information is transmitted between the three satellites through lasers, and each satellite contains two optical platforms. Due to the intersatellite motion, the laser frequency will be affected by the Doppler frequency shift during the intersatellite transmission process. After the local satellite receives the laser sent by the remote satellite, the received laser interferes with the local laser to obtain scientific operation data information. During the interference process, the difference between the received laser frequency and the local laser frequency is called the beat frequency. In order to ensure that the beat frequency is within a reasonable range, that is, between [f lower , f upper ], it is necessary to add an offset frequency during the weak light phase locking process.

所述多普勒频移表述为fab(t)表示卫星a与卫星b之间随时间t变化的时序多普勒频移。The Doppler frequency shift is expressed as f ab (t), which represents the time series Doppler frequency shift between satellite a and satellite b that changes with time t.

所述偏移频率表述为△fXY表示光学平台X的激光频率与光学平台Y的激光频率之间的人为设定的固定差值。The offset frequency is expressed as Δf XY, which represents an artificially set fixed difference between the laser frequency of optical platform X and the laser frequency of optical platform Y.

所述卫星_1包含光学平台A和光学平台B;所述卫星_2包含光学平台C和光学平台D;所述卫星_3包含光学平台E和光学平台F。The satellite_1 includes an optical platform A and an optical platform B; the satellite_2 includes an optical platform C and an optical platform D; and the satellite_3 includes an optical platform E and an optical platform F.

所述锁相方案有以下六种:以光学平台A为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台D锁相到光学平台C,光学平台C锁相到光学平台B,光学平台B锁相到光学平台A,光学平台E锁相到光学平台F,光学平台F锁相到光学平台A。The phase-locking schemes include the following six types: optical platform A is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is optical platform D phase-locked to optical platform C, optical platform C phase-locked to optical platform B, optical platform B phase-locked to optical platform A, optical platform E phase-locked to optical platform F, and optical platform F phase-locked to optical platform A.

以光学平台B为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台E锁相到光学平台F,光学平台F锁相到光学平台A,光学平台A锁相到光学平台B,光学平台D锁相到光学平台C,光学平台C锁相到光学平台B。Optical platform B is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is as follows: optical platform E is phase-locked to optical platform F, optical platform F is phase-locked to optical platform A, optical platform A is phase-locked to optical platform B, optical platform D is phase-locked to optical platform C, and optical platform C is phase-locked to optical platform B.

以光学平台C为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台F锁相到光学平台E,光学平台E锁相到光学平台D,光学平台D锁相到光学平台C,光学平台A锁相到光学平台B,光学平台B锁相到光学平台C。Optical platform C is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is as follows: optical platform F is phase-locked to optical platform E, optical platform E is phase-locked to optical platform D, optical platform D is phase-locked to optical platform C, optical platform A is phase-locked to optical platform B, and optical platform B is phase-locked to optical platform C.

以光学平台D为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台A锁相到光学平台B,光学平台B锁相到光学平台C,光学平台C锁相到光学平台D,光学平台F锁相到光学平台E,光学平台E锁相到光学平台D。Optical platform D is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is optical platform A phase-locked to optical platform B, optical platform B phase-locked to optical platform C, optical platform C phase-locked to optical platform D, optical platform F phase-locked to optical platform E, and optical platform E phase-locked to optical platform D.

以光学平台E为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台B锁相到光学平台A,光学平台A锁相到光学平台F,光学平台F锁相到光学平台E,光学平台C锁相到光学平台D,光学平台D锁相到光学平台E。Optical platform E is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is as follows: optical platform B is phase-locked to optical platform A, optical platform A is phase-locked to optical platform F, optical platform F is phase-locked to optical platform E, optical platform C is phase-locked to optical platform D, and optical platform D is phase-locked to optical platform E.

以光学平台F为主光学平台,其他卫星为从光学平台,其锁相顺序为光学平台C锁相到光学平台D,光学平台D锁相到光学平台E,光学平台E锁相到光学平台F,光学平台B锁相到光学平台A,光学平台A锁相到光学平台F。Optical platform F is the main optical platform, and other satellites are slave optical platforms. The phase-locking order is as follows: optical platform C is phase-locked to optical platform D, optical platform D is phase-locked to optical platform E, optical platform E is phase-locked to optical platform F, optical platform B is phase-locked to optical platform A, and optical platform A is phase-locked to optical platform F.

所述不同锁相方案对应的时序星间拍频的约束如下,其中

Figure BDA0003808898300000091
表示光学平台X的激光和光学平台Y的激光在Z卫星干涉后的拍频。The constraints of the timing inter-satellite beat frequency corresponding to the different phase-locking schemes are as follows, where
Figure BDA0003808898300000091
It represents the beat frequency of the laser on optical platform X and the laser on optical platform Y after interference on Z satellite.

以光学平台A为主光学平台Optical platform A as main optical platform

Figure BDA0003808898300000092
Figure BDA0003808898300000092

其中,in,

Figure BDA0003808898300000093
Figure BDA0003808898300000093

以光学平台B为主光学平台Optical platform B is the main optical platform

Figure BDA0003808898300000101
Figure BDA0003808898300000101

其中,in,

Figure BDA0003808898300000102
Figure BDA0003808898300000102

以光学平台C为主光学平台Optical platform C as main optical platform

Figure BDA0003808898300000103
Figure BDA0003808898300000103

其中,in,

Figure BDA0003808898300000104
Figure BDA0003808898300000104

以光学平台D为主光学平台Optical platform D as main optical platform

Figure BDA0003808898300000111
Figure BDA0003808898300000111

其中,in,

Figure BDA0003808898300000112
Figure BDA0003808898300000112

以光学平台E为主光学平台Optical platform E is the main optical platform

Figure BDA0003808898300000113
Figure BDA0003808898300000113

其中,in,

Figure BDA0003808898300000114
Figure BDA0003808898300000114

以光学平台F为主光学平台Optical platform F is the main optical platform

Figure BDA0003808898300000121
Figure BDA0003808898300000121

其中,in,

Figure BDA0003808898300000122
Figure BDA0003808898300000122

如图1所示,所述全频率规划方案制定方法,共包含以下十个步骤。As shown in FIG1 , the method for formulating a full frequency planning scheme includes the following ten steps.

步骤1:确认优化目标函数、构建相应变量约束。所述目标函数如下所示Step 1: Confirm the optimization objective function and construct the corresponding variable constraints. The objective function is as follows:

Figure BDA0003808898300000123
Figure BDA0003808898300000123

共包含有四个求解目标,目标1最小化读出噪声;目标2最大化拍频间隔abs(fupper-flower),abs表示绝对值;根据公式(3)可知,可以通过减小fhet的方式减小总读出噪声,fhet∈[flower,fupper],因此引入目标3最小化fupper;根据公式(2)可知,fADC-fp<flower,因此引入目标4最大化flower,从而增加fADC和fp的选择空间。There are four solution objectives in total. Objective 1 is to minimize the readout noise; Objective 2 is to maximize the beat frequency interval abs(f upper -f lower ), where abs represents the absolute value; According to formula (3), the total readout noise can be reduced by reducing f het , f het ∈[f lower ,f upper ], so objective 3 is introduced to minimize f upper ; According to formula (2), f ADC -f p <f lower , so objective 4 is introduced to maximize f lower , thereby increasing the selection space of f ADC and f p .

所述变量约束如下:The variable constraints are as follows:

Figure BDA0003808898300000124
Figure BDA0003808898300000124

步骤2:选择目前已有的成熟的多目标规划算法对步骤1中构建的优化目标进行求解。备选多目标优化算法有NSGA-II算法和MOEAD算法。求解得到n组帕累托最优解,将这些解存入n×4的矩阵中,以供后续步骤使用。4列存储顺序为[fmod,flower,fupper,m]。需注意的是,此处获得的[fmod,flower,fupper,m]并不能直接使用,还需要通过后续步骤进行调整。依次选取步骤2中的每一组解进入步骤3至步骤6,对[fmod,flower,fupper,m]进行微调。Step 2: Select the currently available mature multi-objective programming algorithm to solve the optimization objective constructed in step 1. Alternative multi-objective optimization algorithms include NSGA-II algorithm and MOEAD algorithm. Obtain n groups of Pareto optimal solutions and store these solutions in an n×4 matrix for use in subsequent steps. The storage order of the 4 columns is [f mod ,f lower ,f upper ,m]. It should be noted that [f mod ,f lower ,f upper ,m] obtained here cannot be used directly and needs to be adjusted through subsequent steps. Select each group of solutions in step 2 in turn and enter steps 3 to 6 to fine-tune [f mod ,f lower ,f upper ,m].

步骤3:由于第2步得到的fupper,flower和fmod并不是整数,因此需要调整第2步中得到的fupper,flower和fmod,调整策略如下Step 3: Since f upper , f lower and f mod obtained in step 2 are not integers, it is necessary to adjust f upper , f lower and f mod obtained in step 2. The adjustment strategy is as follows:

Figure BDA0003808898300000131
Figure BDA0003808898300000131

其中,round表示四舍五入,

Figure BDA0003808898300000132
Figure BDA0003808898300000133
分别表示调整后的fupper,flower和fmod。Among them, round means rounding.
Figure BDA0003808898300000132
and
Figure BDA0003808898300000133
They represent the adjusted f upper , f lower and f mod respectively.

步骤4:根据

Figure BDA0003808898300000134
Figure BDA0003808898300000135
搜寻合适的fADC和fp并再次更新fmod。首先,根据
Figure BDA0003808898300000136
获取fADC的最小值
Figure BDA0003808898300000137
根据
Figure BDA0003808898300000138
获取fADC和fp的最大间隔,即1<abs(fADC-fp)<flower。另外,在求解过程中,默认fp<fADC<100MHz。然后,采用穷举的方式获取所有可能的[fmod,fp,fADC]组合。假设共有n组可能的组合,存储为如下矩阵:Step 4: According to
Figure BDA0003808898300000134
and
Figure BDA0003808898300000135
Search for the appropriate f ADC and f p and update f mod again. First, according to
Figure BDA0003808898300000136
Get the minimum value of f ADC
Figure BDA0003808898300000137
according to
Figure BDA0003808898300000138
Get the maximum interval between f ADC and f p , that is, 1<abs(f ADC -f p )<f lower . In addition, in the solution process, it is assumed that f p <f ADC <100MHz. Then, use an exhaustive method to obtain all possible combinations of [f mod ,f p ,f ADC ]. Assume that there are n possible combinations, which are stored as the following matrix:

Figure BDA0003808898300000139
Figure BDA0003808898300000139

选择矩阵中,

Figure BDA00038088983000001310
距离
Figure BDA00038088983000001311
最近的一个组合得到
Figure BDA00038088983000001312
假设
Figure BDA00038088983000001313
距离
Figure BDA00038088983000001314
最近,则
Figure BDA00038088983000001315
In the selection matrix,
Figure BDA00038088983000001310
distance
Figure BDA00038088983000001311
The most recent combination
Figure BDA00038088983000001312
Assumptions
Figure BDA00038088983000001313
distance
Figure BDA00038088983000001314
Recently,
Figure BDA00038088983000001315

步骤5:将第3步调整后的fupper和flower作为第5步的拍频上下限的输入,并且输入已有的时序星间多普勒频移数据。构建六种不同主星的偏移频率设定方案的约束条件和目标函数,所述六种不同主星的约束条件如下所示Step 5: Use f upper and f lower adjusted in step 3 as the input of the upper and lower limits of the beat frequency in step 5, and input the existing time-series intersatellite Doppler frequency shift data. Construct the constraints and objective functions of the offset frequency setting schemes of six different primary stars. The constraints of the six different primary stars are as follows:

第一种:以光学平台A为主光学平台The first type: Optical platform A as the main optical platform

Figure BDA00038088983000001316
Figure BDA00038088983000001316

其中,in,

Figure BDA0003808898300000141
Figure BDA0003808898300000141

第二种:以光学平台B为主光学平台The second type: Optical platform B is the main optical platform

Figure BDA0003808898300000142
Figure BDA0003808898300000142

其中,in,

Figure BDA0003808898300000143
Figure BDA0003808898300000143

第三种:以光学平台C为主光学平台The third type: Optical platform C as the main optical platform

Figure BDA0003808898300000144
Figure BDA0003808898300000144

其中,in,

Figure BDA0003808898300000151
Figure BDA0003808898300000151

第四种:以光学平台D为主光学平台The fourth type: optical platform D as the main optical platform

Figure BDA0003808898300000152
Figure BDA0003808898300000152

其中,in,

Figure BDA0003808898300000153
Figure BDA0003808898300000153

第五种:以光学平台E为主光学平台The fifth type: Optical platform E as the main optical platform

Figure BDA0003808898300000154
Figure BDA0003808898300000154

其中,in,

Figure BDA0003808898300000161
Figure BDA0003808898300000161

第六种:以光学平台F为主光学平台The sixth type: Optical platform F as the main optical platform

Figure BDA0003808898300000162
Figure BDA0003808898300000162

其中,in,

Figure BDA0003808898300000163
Figure BDA0003808898300000163

所述目标函数为The objective function is

max(t) (32)max(t) (32)

其中,t表示持续时间。Here, t represents the duration.

将构造好的目标函数和约束条件采用并行化方式对六种方案进行求解,求解算法采用线性规划算法。选择6种方案中,持续时间最长的方案作为最终选取的方案进行保存。保存顺序为[t,M],其中,t表示持续时间,M表示所对应的主光学平台。The constructed objective function and constraint conditions are solved in parallel for the six solutions, and the solution algorithm adopts the linear programming algorithm. The solution with the longest duration among the six solutions is selected as the final selected solution and saved. The saving order is [t, M], where t represents the duration and M represents the corresponding main optical platform.

步骤6:根据步骤3和步骤4更新后的

Figure BDA0003808898300000164
重新计算总读出噪声,并更新调整参数m。更新调整参数m的方式如下Step 6: Updated according to Steps 3 and 4
Figure BDA0003808898300000164
The total read noise is recalculated and the adjustment parameter m is updated. The adjustment parameter m is updated as follows

Figure BDA0003808898300000165
Figure BDA0003808898300000165

即通过更新调整参数m的方式,求得更新

Figure BDA0003808898300000166
后的总读出噪声的最小值,更新后的调整参数m记为mnew。That is, by updating the adjustment parameter m, we can obtain the updated
Figure BDA0003808898300000166
The minimum value of the total readout noise after , the updated adjustment parameter m is recorded as m new .

步骤7:将更新后的解依次存入新的数组,其数组每一行排列方式为

Figure BDA0003808898300000171
其中mnew表示更新后的调整参数m,fp,fADC表示由步骤4获取的导频频率和ADC采样频率,t表示步骤5中获取的最长持续时间以及所对应选择的主光学平台M,RN表示步骤6中更新调整参数m后的总读出噪声。Step 7: Store the updated solutions into a new array in sequence. Each row of the array is arranged as follows:
Figure BDA0003808898300000171
Wherein m new represents the updated adjustment parameter m, f p ,f ADC represents the pilot frequency and ADC sampling frequency obtained in step 4 , t represents the maximum duration obtained in step 5 and the corresponding selected main optical platform M, and RN represents the total readout noise after the adjustment parameter m is updated in step 6 .

步骤8:当步骤2中求得的所有帕累托最优解都经过步骤3至步骤7处理后,判断是否存在可行解。若是,进入步骤10;否则进入步骤9。Step 8: After all the Pareto optimal solutions obtained in step 2 have been processed through steps 3 to 7, determine whether there is a feasible solution. If so, proceed to step 10; otherwise, proceed to step 9.

判断是否存在可行解是判断最优解是否符合步骤1的变量约束。Determining whether there is a feasible solution is to determine whether the optimal solution meets the variable constraints in step 1.

步骤9:判断是否更换步骤1中采用的多目标优化算法,若是则更换,否则沿用之前的优化算法。调整优化算法后,进入步骤1,循环执行步骤1至步骤8直到满足终止条件。Step 9: Determine whether to change the multi-objective optimization algorithm used in step 1. If yes, change it; otherwise, continue to use the previous optimization algorithm. After adjusting the optimization algorithm, go to step 1 and loop through steps 1 to 8 until the termination condition is met.

步骤10:保存全频率设定方案。Step 10: Save the full frequency setting scheme.

本发明的一个实施例如下:An embodiment of the present invention is as follows:

步骤1:确认优化目标函数、构建相应变量约束。所述目标函数如下所示Step 1: Confirm the optimization objective function and construct the corresponding variable constraints. The objective function is as follows:

Figure BDA0003808898300000172
Figure BDA0003808898300000172

共包含有四个求解目标,目标1最小化读出噪声;目标2最大化拍频间隔abs(fupper-flower),abs表示绝对值;根据公式(3)可知,可以通过减小fhet的方式减小总读出噪声,fhet∈[flower,fupper],因此引入目标3最小化fupper;根据公式(2)可知,fADC-fp<flower,因此引入目标4最大化flower,从而增加fADC和fp的选择空间。There are four solution objectives in total. Objective 1 is to minimize the readout noise; Objective 2 is to maximize the beat frequency interval abs(f upper -f lower ), where abs represents the absolute value; According to formula (3), the total readout noise can be reduced by reducing f het , f het ∈[f lower ,f upper ], so objective 3 is introduced to minimize f upper ; According to formula (2), f ADC -f p <f lower , so objective 4 is introduced to maximize f lower , thereby increasing the selection space of f ADC and f p .

所述变量约束如下:The variable constraints are as follows:

Figure BDA0003808898300000173
Figure BDA0003808898300000173

步骤2:选择目前已有的成熟的多目标规划算法对步骤1中构建的优化目标进行求解。备选多目标优化算法有NSGA-II算法和MOEAD算法。求解得到n组帕累托最优解,将这些解存入n×4的矩阵中,以供后续步骤使用。4列存储顺序为[fmod,flower,fupper,m]。需注意的是,此处获得的[fmod,flower,fupper,m]并不能直接使用,还需要通过后续步骤进行调整。依次选取步骤2中的每一组解进入步骤3至步骤6,对[fmod,flower,fupper,m]进行微调。Step 2: Select the currently available mature multi-objective programming algorithm to solve the optimization objective constructed in step 1. Alternative multi-objective optimization algorithms include NSGA-II algorithm and MOEAD algorithm. Obtain n groups of Pareto optimal solutions and store these solutions in an n×4 matrix for use in subsequent steps. The storage order of the 4 columns is [f mod ,f lower ,f upper ,m]. It should be noted that [f mod ,f lower ,f upper ,m] obtained here cannot be used directly and needs to be adjusted through subsequent steps. Select each group of solutions in step 2 in turn and enter steps 3 to 6 to fine-tune [f mod ,f lower ,f upper ,m].

所述帕累托最优解为多目标规划过程中产生的多组可行解的通用表示方式,这些可行解在求解过程中不被其他解所支配。The Pareto optimal solution is a general representation of multiple groups of feasible solutions generated in the multi-objective planning process. These feasible solutions are not dominated by other solutions during the solution process.

步骤3:由于第2步得到的fupper,flower和fmod并不是整数,因此需要调整第2步中得到的fupper,flower和fmod,调整策略如下Step 3: Since f upper , f lower and f mod obtained in step 2 are not integers, it is necessary to adjust f upper , f lower and f mod obtained in step 2. The adjustment strategy is as follows:

Figure BDA0003808898300000181
Figure BDA0003808898300000181

其中,round表示四舍五入,

Figure BDA0003808898300000182
Figure BDA0003808898300000183
分别表示调整后的fupper,flower和fmod。Among them, round means rounding.
Figure BDA0003808898300000182
and
Figure BDA0003808898300000183
They represent the adjusted f upper , f lower and f mod respectively.

步骤4:根据

Figure BDA0003808898300000184
Figure BDA0003808898300000185
搜寻合适的fADC和fp并再次更新fmod。首先,根据
Figure BDA0003808898300000186
获取fADC的最小值
Figure BDA0003808898300000187
根据
Figure BDA0003808898300000188
获取fADC和fp的最大间隔,即1<abs(fADC-fp)<flower。另外,在求解过程中,默认fp<fADC<100MHz。然后,采用穷举的方式获取所有可能的[fmod,fp,fADC]组合。假设共有n组可能的组合,存储为如下矩阵:Step 4: According to
Figure BDA0003808898300000184
and
Figure BDA0003808898300000185
Search for the appropriate f ADC and f p and update f mod again. First, according to
Figure BDA0003808898300000186
Get the minimum value of f ADC
Figure BDA0003808898300000187
according to
Figure BDA0003808898300000188
Get the maximum interval between f ADC and f p , that is, 1<abs(f ADC -f p )<f lower . In addition, in the solution process, it is assumed that f p <f ADC <100MHz. Then, use an exhaustive method to obtain all possible combinations of [f mod ,f p ,f ADC ]. Assume that there are n possible combinations, which are stored as the following matrix:

Figure BDA0003808898300000189
Figure BDA0003808898300000189

选择矩阵中,

Figure BDA00038088983000001810
距离
Figure BDA00038088983000001811
最近的一个组合得到
Figure BDA00038088983000001812
假设
Figure BDA00038088983000001813
距离
Figure BDA00038088983000001814
最近,则
Figure BDA00038088983000001815
In the selection matrix,
Figure BDA00038088983000001810
distance
Figure BDA00038088983000001811
The most recent combination
Figure BDA00038088983000001812
Assumptions
Figure BDA00038088983000001813
distance
Figure BDA00038088983000001814
Recently,
Figure BDA00038088983000001815

步骤5:如图2、3所示,将第3步调整后的fupper和flower作为第5步的拍频上下限的输入,并且输入已有的时序星间多普勒频移数据。构建六种不同主星的偏移频率设定方案的约束条件和目标函数,所述六种不同主星的约束条件如下所示Step 5: As shown in Figures 2 and 3, the f upper and f lower adjusted in step 3 are used as the input of the upper and lower limits of the beat frequency in step 5, and the existing time-series inter-satellite Doppler frequency shift data is input. The constraints and objective functions of the offset frequency setting schemes of six different primary stars are constructed. The constraints of the six different primary stars are as follows:

第一种:以光学平台A为主光学平台,如图4(a)所示The first type: Optical platform A is the main optical platform, as shown in Figure 4(a)

Figure BDA00038088983000001816
Figure BDA00038088983000001816

其中,in,

Figure BDA0003808898300000191
Figure BDA0003808898300000191

第二种:以光学平台B为主光学平台,如图4(b)所示The second type: Optical platform B is the main optical platform, as shown in Figure 4(b)

Figure BDA0003808898300000192
Figure BDA0003808898300000192

其中,in,

Figure BDA0003808898300000193
Figure BDA0003808898300000193

第三种:以光学平台C为主光学平台,如图4(c)所示The third type: Optical platform C is the main optical platform, as shown in Figure 4(c)

Figure BDA0003808898300000194
Figure BDA0003808898300000194

其中,in,

Figure BDA0003808898300000201
Figure BDA0003808898300000201

第四种:以光学平台D为主光学平台,如图4(d)所示The fourth type: Optical platform D is the main optical platform, as shown in Figure 4(d)

Figure BDA0003808898300000202
Figure BDA0003808898300000202

其中,in,

Figure BDA0003808898300000203
Figure BDA0003808898300000203

第五种:以光学平台E为主光学平台,如图4(e)所示The fifth type: Optical platform E is the main optical platform, as shown in Figure 4(e)

Figure BDA0003808898300000204
Figure BDA0003808898300000204

其中,in,

Figure BDA0003808898300000211
Figure BDA0003808898300000211

第六种:以光学平台F为主光学平台,如图4(f)所示The sixth type: Optical platform F is the main optical platform, as shown in Figure 4(f)

Figure BDA0003808898300000212
Figure BDA0003808898300000212

其中,in,

Figure BDA0003808898300000213
Figure BDA0003808898300000213

所述目标函数为The objective function is

max(t) (50)max(t) (50)

其中,t表示持续时间。Here, t represents the duration.

将构造好的目标函数和约束条件采用并行化方式对六种方案进行求解,求解算法采用线性规划算法。选择6种方案种,持续时间最长的方案作为最终选取的方案进行保存。保存顺序为[t,M],其中,t表示持续时间,M表示所对应的主光学平台。The constructed objective function and constraints are solved in parallel for the six solutions, and the solution algorithm adopts the linear programming algorithm. Among the six solutions, the solution with the longest duration is selected and saved as the final selected solution. The saving order is [t, M], where t represents the duration and M represents the corresponding main optical platform.

所述并行化方式采用多核多线程并行的方式以提升运算效率。The parallelization method adopts a multi-core multi-threaded parallel method to improve computing efficiency.

步骤6:根据步骤3和步骤4更新后的

Figure BDA0003808898300000214
重新计算总读出噪声,并更新调整参数m。更新调整参数m的方式如下Step 6: Updated according to Steps 3 and 4
Figure BDA0003808898300000214
The total read noise is recalculated and the adjustment parameter m is updated. The adjustment parameter m is updated as follows

Figure BDA0003808898300000215
Figure BDA0003808898300000215

即通过更新调整参数m的方式,求得更新

Figure BDA0003808898300000221
后的总读出噪声的最小值,更新后的调整参数m记为mnew。That is, by updating the adjustment parameter m, we can obtain the updated
Figure BDA0003808898300000221
The minimum value of the total readout noise after , the updated adjustment parameter m is recorded as m new .

步骤7:将更新后的解存入依次新的数组,其数组每一行排列方式为

Figure BDA0003808898300000222
其中mnew表示更新后的调整参数m,fp,fADC表示由步骤4获取的导频频率和ADC采样频率,t表示步骤5中获取的最长持续时间以及所对应选择的主光学平台M,RN表示步骤6中更新调整参数m后的总读出噪声。Step 7: Store the updated solution into a new array, and each row of the array is arranged as follows
Figure BDA0003808898300000222
Wherein m new represents the updated adjustment parameter m, f p ,f ADC represents the pilot frequency and ADC sampling frequency obtained in step 4 , t represents the maximum duration obtained in step 5 and the corresponding selected main optical platform M, and RN represents the total readout noise after the adjustment parameter m is updated in step 6 .

经步骤6更新调整参数m后,求得的

Figure BDA0003808898300000223
矩阵如下所示:After updating the adjustment parameter m in step 6, the obtained
Figure BDA0003808898300000223
The matrix looks like this:

Figure BDA0003808898300000224
Figure BDA0003808898300000224

Figure BDA0003808898300000231
Figure BDA0003808898300000231

步骤8:当步骤2中求得的所有帕累托最优解都经过步骤3至步骤7处理后,判断是否存在可行解。若是,进入步骤10;否则进入步骤9。Step 8: After all the Pareto optimal solutions obtained in step 2 have been processed through steps 3 to 7, determine whether there is a feasible solution. If so, proceed to step 10; otherwise, proceed to step 9.

假定步骤8要求的可行解是持续时间t=2190,读出噪声小于

Figure BDA0003808898300000232
则筛选出以下结果:Assume that the feasible solution required in step 8 is a duration of t = 2190 and the readout noise is less than
Figure BDA0003808898300000232
The following results are filtered out:

12001200 22 2525 0.560.56 4848 5050 21902190 AA 6.35E-126.35E-12 12001200 22 2525 0.560.56 4848 5050 21902190 AA 6.35E-126.35E-12

步骤9:判断是否更换步骤1中采用的多目标优化算法,若是则更换,否则沿用之前的优化算法。调整优化算法后,进入步骤1,循环执行步骤1至步骤8直到满足终止条件。Step 9: Determine whether to change the multi-objective optimization algorithm used in step 1. If yes, change it, otherwise use the previous optimization algorithm. After adjusting the optimization algorithm, go to step 1 and loop through steps 1 to 8 until the termination condition is met.

步骤10:保存全频率设定方案。Step 10: Save the full frequency setting scheme.

最后所应说明的是,以上实施例仅用以说明本发明的技术方案而非限制。尽管参照实施例对本发明进行了详细说明,本领域的普通技术人员应当理解,对本发明的技术方案进行修改或者等同替换,都不脱离本发明技术方案的精神和范围,其均应涵盖在本发明的权利要求范围当中。Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention is described in detail with reference to the embodiments, it should be understood by those skilled in the art that any modification or equivalent replacement of the technical solutions of the present invention does not depart from the spirit and scope of the technical solutions of the present invention and should be included in the scope of the claims of the present invention.

Claims (7)

1. A space-based gravitational wave detector frequency planning scheme formulation method, the space-based gravitational wave detector includes three satellites forming a satellite formation, each satellite is loaded with two laser interference optical platforms respectively; the method comprises the following steps:
determining an optimization objective function and variable constraint conditions;
solving an optimized objective function by utilizing a multi-objective optimization algorithm, and constructing constraint conditions and objective functions of offset frequency phase locking schemes of 6 different main stars; solving the 6 schemes in a parallelization mode, and selecting the scheme with the longest duration in the 6 schemes as a finally selected scheme; if the solution of the multi-objective optimization algorithm has a feasible solution, ending the calculation to obtain a frequency planning scheme, otherwise, replacing the multi-objective optimization algorithm to recalculate until the variable constraint condition is met; the calculation result comprises: the ultra-stable clock modulation frequency, the lower limit of the inter-satellite beat frequency, the upper limit of the inter-satellite beat frequency, the pilot signal frequency, the ADC sampling frequency, the total readout noise, the adjustment parameters, the main optical platform and the longest duration.
2. The method for formulating the frequency planning scheme of the space-based gravitational wave detector according to claim 1, wherein the method specifically comprises:
step 1: determining an optimization objective function and constructing a variable constraint;
the optimization objective function is as follows:
Figure FDA0003808898290000011
wherein ,
Figure FDA0003808898290000012
is the total readout noise; f (f) upper The upper limit of the inter-satellite beat frequency; f (f) lower Is the lower limit of the inter-satellite beat frequency;
the variable constraints are as follows:
Figure FDA0003808898290000013
wherein :fmod Modulating the frequency for an ultra-stable clock;
Figure FDA0003808898290000014
the noise is read out for the total side frequency;
Figure FDA0003808898290000015
Reading out noise for the carrier wave;
step 2: solving the optimization objective function by using a multi-objective optimization algorithm;
step 3: solving the step 2 to obtain f upper ,f lower and fmod The adjustment is carried out according to the following strategy:
Figure FDA0003808898290000021
wherein round is a rounding method;
Figure FDA0003808898290000022
and
Figure FDA0003808898290000023
Respectively represents the adjusted f upper ,f lower and fmod
Step 4: according to
Figure FDA0003808898290000024
and
Figure FDA0003808898290000025
Searching for the appropriate f ADC and fp And update f again mod; wherein ,fADC For ADC sampling frequency, f p Is the pilot signal frequency;
step 4-1: according to
Figure FDA0003808898290000026
Acquiring f ADC Minimum value +.>
Figure FDA0003808898290000027
According to->
Figure FDA0003808898290000028
Acquiring f ADC and fp Maximum spacing of 1, i.e<abs(f ADC -f p )<f lower The method comprises the steps of carrying out a first treatment on the surface of the Default f in the solution process p <f ADC <100MHz;
Step 4-2: obtaining all possible [ f ] in an exhaustive manner mod ,f p ,f ADC ]Combining; there are n groups of possible combinations stored as a matrix:
Figure FDA0003808898290000029
in the selection matrix, the selection matrix is selected,
Figure FDA00038088982900000210
distance->
Figure FDA00038088982900000211
The most recent combination gets +>
Figure FDA00038088982900000212
Step 5: f, adjusting the step 3 upper and flower Inputting the existing time sequence Doppler frequency shift data as the input of the upper and lower limits of the beat frequency in the step 5, and constructing constraint conditions and objective functions of offset frequency phase locking schemes of 6 different principal stars; solving the 6 schemes, and selecting the scheme with the longest duration from the 6 schemes as the finally selected scheme;
step 6: updated according to step 3 and step 4
Figure FDA00038088982900000213
Recalculating the total readout noise and updating the adjustment parameter m; the adjustment parameter m is updated as follows:
Figure FDA00038088982900000214
Figure FDA00038088982900000215
that is, the update is obtained by updating the adjustment parameter m
Figure FDA00038088982900000216
The minimum value of the total read noise after updating, and the adjustment parameter m after updating is recorded as m new
The updated solution includes:
Figure FDA00038088982900000217
wherein ,J0(m) and J1 (m) represents 0 th and 1 st order bessel functions, respectively; m is m new The updated adjustment parameter m; f (f) p ,f ADC The pilot frequency and the ADC sampling frequency obtained in the step 4 are obtained; t is the longest duration obtained in step 5; m is the main optical platform selected corresponding to the longest duration t obtained in the step 5; the RN is the total readout noise after updating the adjustment parameter m in the step 6;
step 7: judging whether feasible solutions exist after all the optimal solutions obtained in the step 2 are processed in the steps 3 to 6; if yes, the feasible solution is the final calculation result; otherwise, replacing the multi-objective optimization algorithm adopted in the step 2, and restarting to execute the step 2;
and judging whether a feasible solution exists or not, and judging whether the optimal solution accords with the variable constraint of the step 1 or not.
3. The method for formulating the frequency planning scheme of the space-based gravitational wave detector according to claim 2, wherein the step 2 is specifically: solving by using a multi-objective optimization algorithm to obtain n groups of pareto optimal solutions, storing the solutions into an n multiplied by 4 matrix, wherein the storage sequence of 4 columns is [ f ] mod ,f lower ,f upper ,m]。
4. The method of claim 2, wherein the multi-objective optimization algorithm comprises NSGA-II algorithm or MOEAD algorithm.
5. The method for formulating the frequency planning scheme of the space-based gravitational wave detector in accordance with claim 2, wherein said three satellites are respectively satellite_1, satellite_2 and satellite_3;
wherein the satellite_1 comprises an optical platform A and an optical platform B; the satellite_2 comprises an optical platform C and an optical platform D; the satellite_3 comprises an optical platform E and an optical platform F;
the 6 phase locking schemes are as follows:
1 st: taking an optical platform A as a main optical platform, and taking other satellites as slave optical platforms, wherein the phase locking sequence is that an optical platform D is phase-locked to an optical platform C, the optical platform C is phase-locked to an optical platform B, the optical platform B is phase-locked to the optical platform A, the optical platform E is phase-locked to an optical platform F, and the optical platform F is phase-locked to the optical platform A;
2 nd: taking an optical platform B as a main optical platform, and taking other satellites as slave optical platforms, wherein the phase locking sequence is that an optical platform E is phase-locked to an optical platform F, the optical platform F is phase-locked to an optical platform A, the optical platform A is phase-locked to an optical platform B, the optical platform D is phase-locked to an optical platform C, and the optical platform C is phase-locked to the optical platform B;
3 rd: taking an optical platform C as a main optical platform, and taking other satellites as slave optical platforms, wherein the phase locking sequence is that an optical platform F is phase-locked to an optical platform E, the optical platform E is phase-locked to an optical platform D, the optical platform D is phase-locked to the optical platform C, the optical platform A is phase-locked to an optical platform B, and the optical platform B is phase-locked to the optical platform C;
4 th: taking an optical platform D as a main optical platform, and taking other satellites as slave optical platforms, wherein the phase locking sequence is that an optical platform A is phase-locked to an optical platform B, the optical platform B is phase-locked to an optical platform C, the optical platform C is phase-locked to the optical platform D, the optical platform F is phase-locked to an optical platform E, and the optical platform E is phase-locked to the optical platform D;
5 th: taking an optical platform E as a main optical platform, and taking other satellites as slave optical platforms, wherein the phase locking sequence is that an optical platform B is phase-locked to an optical platform A, the optical platform A is phase-locked to an optical platform F, the optical platform F is phase-locked to the optical platform E, the optical platform C is phase-locked to an optical platform D, and the optical platform D is phase-locked to the optical platform E;
6 th: the optical platform F is used as a main optical platform, other satellites are slave optical platforms, the phase locking sequence is that an optical platform C is phase-locked to an optical platform D, the optical platform D is phase-locked to an optical platform E, the optical platform E is phase-locked to the optical platform F, the optical platform B is phase-locked to an optical platform A, and the optical platform A is phase-locked to the optical platform F.
6. The method for planning frequency plan of space-based gravitational wave detector in accordance with claim 5, wherein the constraint conditions of six different main satellites in said step 5 are as follows:
1 st: optical platform A as main optical platform
Figure FDA0003808898290000041
wherein ,f12 (t) is the time-series doppler shift between satellite 1 and satellite 2 over time t; f (f) 13 (t) is the time-series doppler shift between satellite 1 and satellite 3 over time t; f (f) 23 (t) is the time-series doppler shift between satellite 2 and satellite 3 over time t; Δf AB The offset frequency is a fixed difference value which is manually set between the laser frequency of the optical platform A and the laser frequency of the optical platform B; Δf CD For the offset frequency, a fixed difference between the laser frequency of the optical bench C and the laser frequency of the optical bench D is represented by an artificial setting; Δf EF For the offset frequency, a fixed difference between the laser frequency of the optical bench E and the laser frequency of the optical bench F is represented by an artificial setting; Δf AF For the offset frequency, a fixed difference between the laser frequency of the optical bench a and the laser frequency of the optical bench F is represented by an artificial setting; Δf BC For the offset frequency, a fixed difference between the laser frequency of the optical bench B and the laser frequency of the optical bench C is represented by an artificial setting;
2 nd: optical platform B as main optical platform
Figure FDA0003808898290000042
3 rd: optical platform C as main optical platform
Figure FDA0003808898290000051
wherein ,△fDE For the offset frequency, a fixed difference between the laser frequency of the optical bench D and the laser frequency of the optical bench E is represented by an artificial setting;
4 th: optical platform D as main optical platform
Figure FDA0003808898290000052
5 th: optical platform E as main optical platform
Figure FDA0003808898290000053
6 th: optical platform F is taken as main optical platform
Figure FDA0003808898290000054
The objective function is
max(t)
Wherein t represents a duration;
solving the six schemes by adopting a parallelization mode according to the constructed objective function and constraint conditions, wherein a linear programming algorithm is adopted in a solving algorithm; selecting the scheme with the longest duration from the 6 schemes as the finally selected scheme for storage; the preservation sequence is [ t, M ], wherein t represents the duration and M represents the corresponding main optical platform.
7. The system comprises a space-based gravitational wave detector and a frequency planning scheme, wherein the space-based gravitational wave detector comprises a satellite formation formed by three satellites, and each satellite is respectively loaded with two laser interference optical platforms; the system comprises:
the initialization module is used for determining an optimization objective function and variable constraint conditions;
the planning scheme calculation module is used for solving an optimized objective function by utilizing a multi-objective optimization algorithm and constructing constraint conditions and objective functions of offset frequency phase locking schemes of 6 different main stars; solving the 6 schemes in a parallelization mode, and selecting the scheme with the longest duration in the 6 schemes as a finally selected scheme; if the solution of the multi-objective optimization algorithm has a feasible solution, ending the calculation to obtain a frequency planning scheme, otherwise, replacing the multi-objective optimization algorithm to recalculate until the variable constraint condition is met; the calculation result comprises: the ultra-stable clock modulation frequency, the lower limit of the inter-satellite beat frequency, the upper limit of the inter-satellite beat frequency, the pilot signal frequency, the ADC sampling frequency, the total readout noise, the adjustment parameters, the main optical platform and the longest duration.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113609755A (en) * 2021-07-07 2021-11-05 中国科学院国家空间科学中心 Inter-satellite laser interference frequency planning simulation verification system for time sequence reinforcement learning
WO2022037101A1 (en) * 2020-08-21 2022-02-24 上海禾赛科技股份有限公司 Method for using frequency modulation continuous wave to perform detection, and radar and computer-readable storage medium
CN114357724A (en) * 2021-12-13 2022-04-15 中国人民解放军国防科技大学 Dynamic multi-objective optimization-based opportunistic frequency planning method, device and equipment
CN114662388A (en) * 2022-03-22 2022-06-24 中国科学院国家空间科学中心 A method for solving the frequency strategy of variable primary star offset based on sequence genetic algorithm
WO2022159616A1 (en) * 2021-01-21 2022-07-28 Terahertz Ventures Llc System and method for utilizing gravitational waves for geological exploration

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2022037101A1 (en) * 2020-08-21 2022-02-24 上海禾赛科技股份有限公司 Method for using frequency modulation continuous wave to perform detection, and radar and computer-readable storage medium
WO2022159616A1 (en) * 2021-01-21 2022-07-28 Terahertz Ventures Llc System and method for utilizing gravitational waves for geological exploration
CN113609755A (en) * 2021-07-07 2021-11-05 中国科学院国家空间科学中心 Inter-satellite laser interference frequency planning simulation verification system for time sequence reinforcement learning
CN114357724A (en) * 2021-12-13 2022-04-15 中国人民解放军国防科技大学 Dynamic multi-objective optimization-based opportunistic frequency planning method, device and equipment
CN114662388A (en) * 2022-03-22 2022-06-24 中国科学院国家空间科学中心 A method for solving the frequency strategy of variable primary star offset based on sequence genetic algorithm

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