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CN115407340A - Bistatic positioning method based on grid matching under variable acoustic velocity - Google Patents

Bistatic positioning method based on grid matching under variable acoustic velocity Download PDF

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CN115407340A
CN115407340A CN202210507089.5A CN202210507089A CN115407340A CN 115407340 A CN115407340 A CN 115407340A CN 202210507089 A CN202210507089 A CN 202210507089A CN 115407340 A CN115407340 A CN 115407340A
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positioning
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CN115407340B (en
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生雪莉
许静
孙畅
王嘉齐
殷敬伟
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Harbin Engineering University
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    • 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
    • G01S15/00Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems
    • G01S15/02Systems using the reflection or reradiation of acoustic waves, e.g. sonar systems using reflection of acoustic waves
    • G01S15/06Systems determining the position data of a target
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract

The invention provides a bistatic positioning method under variable acoustic velocity based on grid matching, which is characterized in that firstly, a time delay information matching method is applied to bistatic positioning, compared with the traditional elliptical positioning, the problem of positioning error caused by acoustic ray bending in bistatic positioning is solved, and the positioning accuracy is improved. The invention carries out grid matching based on the time delay information, divides the possible areas of the target into grids, independently calculates the corresponding time delay information by taking each grid as the target, and matches the time delay information with the actual sound ray propagation time to realize target positioning.

Description

一种基于栅格匹配的变声速下双基地定位方法A Bistatic Positioning Method Based on Grid Matching under Variable Sound Velocity

技术领域technical field

本发明属于水声定位领域,涉及一种双基地定位方法,特别涉及一种基于栅格时延信息匹配的变声速环境下双基地定位方法。The invention belongs to the field of underwater acoustic positioning, and relates to a bistatic positioning method, in particular to a bistatic positioning method in a variable sound velocity environment based on grid time delay information matching.

背景技术Background technique

双基地声纳将发射设备与接收设备分离,是避免平台噪声影响、增加探测距离的一个重要手段。双基地定位的基本方法是椭圆定位法,当声波由发射基站发射经目标散射到达接收基站后,以其传播时间计算总传播距离为椭圆长轴值,以发射和接收基站为焦点,目标在此椭圆轨迹上,多个椭圆求交点即可确定目标位置。Bistatic sonar separates the transmitting equipment from the receiving equipment, which is an important means to avoid the influence of platform noise and increase the detection distance. The basic method of bistatic positioning is the ellipse positioning method. When the sound wave is emitted by the transmitting base station and scattered by the target to reach the receiving base station, the total propagation distance is calculated as the long axis value of the ellipse based on its propagation time. The transmitting and receiving base stations are the focus, and the target is here On the ellipse trajectory, multiple ellipses intersect to determine the target position.

但是由于海水介质的非均匀特性,海水中的声速受温度、盐度和深度的影响,声线发生弯曲,此时若仍按照恒定声速求解目标位置会产生定位误差。针对声线弯曲,1992年吴德明在《一种用于声线修正的迭代法》中提出了一种适用于双曲定位系统的声线修正法,该方法将声速分布近似为分层等梯度分布,并采用迭代的方法实现目标定位。上世纪末,Vincent,H.T和Hu,S.L.J在《Geodetic position estimation of underwater acousticsensors》中将定位的理论模型与实际物理相结合,为深海环境中直达声传播空间的各个点都引入一个有效声速,通过有效声速来确定准确的距离并交汇得到较精准的目标位置信息。2002年王燕和梁国龙等于《一种适用于长基线水声定位系统的声线修正方法》一文提出采用迭代法对长基线水声定位系统的试验数据进行处理,并获得了较好的处理结果。2009年《一种声线修正的查表方法》中梁民赞采用声线修正查表方法对海试数据进行处理,验证了算法能有效改善定位性能。2019年孙大军等人于《Sound velocity correction basedon effective sound velocity for underwater acoustic positioning systems》一文中提出基于有效声速表的声速修正算法,该算法适用于超短基线定位系统,可依据声线跟踪法离线计算区域内所有位置的有效声速,将所有位置处的计算结果构成有效声速表,应用时只需根据深度调用,大大提高了计算速度,同时也保障了定位精度。However, due to the non-uniform characteristics of the seawater medium, the sound velocity in seawater is affected by temperature, salinity and depth, and the sound ray is bent. At this time, if the target position is still calculated according to the constant sound velocity, a positioning error will occur. For sound ray bending, Wu Deming proposed a sound ray correction method suitable for hyperbolic positioning systems in "An Iterative Method for Sound Ray Correction" in 1992. This method approximates the sound velocity distribution to a layered and equal gradient distribution , and use an iterative method to achieve target positioning. At the end of the last century, Vincent, H.T and Hu, S.L.J combined the theoretical model of positioning with actual physics in "Geodetic position estimation of underwater acoustic sensors", and introduced an effective sound velocity for each point of the direct sound propagation space in the deep sea environment. Through the effective The speed of sound is used to determine the accurate distance and get more accurate target position information. In 2002, Wang Yan and Liang Guolong et al. proposed an iterative method to process the test data of the long baseline underwater acoustic positioning system in their paper "A Sound Ray Correction Method Applicable to Long Baseline Underwater Acoustic Positioning System", and obtained better processing results. . In 2009 "A Table Lookup Method for Sound Ray Correction", Liang Minzan used the sound ray correction table lookup method to process the sea test data, and verified that the algorithm can effectively improve the positioning performance. In 2019, Sun Dajun and others proposed a sound velocity correction algorithm based on an effective sound velocity table in the article "Sound velocity correction based on effective sound velocity for underwater acoustic positioning systems". This algorithm is suitable for ultra-short baseline positioning systems and can be offline based on the sound ray tracking method. Calculate the effective sound velocity of all positions in the area, and use the calculation results at all positions to form an effective sound velocity table. When it is applied, it only needs to be called according to the depth, which greatly improves the calculation speed and ensures the positioning accuracy.

上述方法基本解决了单基地情况下声线弯曲带来的问题,但由于主被动结合的双基地背景下收发分置,只能获得由发射站经目标散射到接收站的总传播时间,以上声线修正方法应用困难。The above method basically solves the problem caused by the bending of sound rays in the case of single base, but due to the active and passive combination of dual bases and the separation of sending and receiving, only the total propagation time from the transmitting station to the receiving station through the target scattering can be obtained. The line correction method is difficult to apply.

发明内容Contents of the invention

本发明的目的在于提供一种基于栅格匹配的水下双基地定位方法,其可以克服变声速下声线弯曲引起的双基地椭圆定位方法失效的问题,提高定位的精确度。The purpose of the present invention is to provide an underwater bistatic positioning method based on grid matching, which can overcome the failure of the bistatic elliptical positioning method caused by sound ray bending at variable sound speeds, and improve positioning accuracy.

本发明的目的是这样实现的:包含如下步骤:The object of the present invention is achieved like this: comprise the following steps:

步骤1,确定环境参数,包括声速分布、海洋深度、海底地形的声线传播环境参数。Step 1. Determine environmental parameters, including sound velocity distribution, ocean depth, and sound ray propagation environmental parameters of seabed topography.

步骤2,输入双基地基站的布放参数,包括发射站、接收站位置信息,以及该布放参数下声线总传播时间的实际测量值t。Step 2, input the deployment parameters of the bistatic base station, including the location information of the transmitting station and the receiving station, and the actual measured value t of the total propagation time of the sound rays under the deployment parameters.

步骤3,在目标搜索范围内划分网格,遍历网格,分别计算发射站到某网格直达声线传播时间t1及接收站到某网格直达声线传播时间t2,由

Figure BDA0003636442850000021
得到每个网格的总传播时间
Figure BDA0003636442850000022
Step 3: Divide the grid within the target search range, traverse the grid, and calculate the direct sound ray propagation time t 1 from the transmitting station to a certain grid and the direct sound ray propagation time t 2 from the receiving station to a certain grid, by
Figure BDA0003636442850000021
Get the total travel time for each grid
Figure BDA0003636442850000022

步骤4,依次计算每个网格对应传播时间

Figure BDA0003636442850000023
与给定声线总传播时间t的欧几里得距离,设定时延误差检测门限Δt,若
Figure BDA0003636442850000024
则保存该网格坐标,将该网格位置标记为亮点;若
Figure BDA0003636442850000025
则不保留网格坐标,继续计算下一网格。计算完成所有网格后的亮点坐标组成亮点图1。Step 4, calculate the propagation time corresponding to each grid in turn
Figure BDA0003636442850000023
Euclidean distance from the total travel time t of a given sound ray, set the delay error detection threshold Δt, if
Figure BDA0003636442850000024
Then save the grid coordinates and mark the grid position as a bright spot; if
Figure BDA0003636442850000025
Then the grid coordinates are not reserved, and the calculation of the next grid is continued. The coordinates of the bright spots after all grids are calculated form the bright spot map 1.

步骤5,改变双基地基站布放参数,重复进行步骤2到步骤4,得到新的亮点图2。Step 5, change the deployment parameters of the bistatic base station, repeat steps 2 to 4, and obtain a new bright spot map 2.

步骤6,对亮点图1和亮点图2的亮点坐标取交集,得到目标定位坐标结果。Step 6: Take the intersection of the coordinates of the bright spots in the bright spot map 1 and the bright spot map 2, and obtain the result of target positioning coordinates.

上述步骤3中,将目标搜索范围离散化为N个网格,网格数目越多,时延误差检测门限越低,定位精度越高,计算量越大,计算过程采用射线声学模型。In the above step 3, the target search range is discretized into N grids. The more the number of grids, the lower the delay error detection threshold, the higher the positioning accuracy, and the greater the calculation amount. The calculation process uses the ray acoustic model.

上述步骤5和步骤6中,由于不同网格对应时延值可能相同,单次仿真保留了大量虚假目标位置,重复得到亮点图取交集可以大量排除虚假位置。In the above steps 5 and 6, since the delay values corresponding to different grids may be the same, a large number of false target positions are retained in a single simulation, and a large number of false positions can be eliminated by repeatedly obtaining the intersection of bright spot maps.

本发明基于时延信息进行栅格匹配,将目标可能存在区域划分网格,每个网格作为目标单独计算对应的时延信息,匹配该时延信息与实际声线传播时间实现目标定位。The present invention performs grid matching based on time delay information, divides the possible target area into grids, and calculates corresponding time delay information for each grid as a target, and matches the time delay information with the actual sound ray propagation time to realize target positioning.

与现有技术相比,本发明的有益效果是:本发明提出的基于栅格匹配的变声速下双基地定位方法,首先将时延信息匹配的方法应用于双基地定位中,相比于传统的椭圆定位,解决了双基地定位中声线弯曲引起的定位误差问题,提高了定位精度。Compared with the prior art, the beneficial effect of the present invention is: the grid matching-based bistatic positioning method under variable sound velocity proposed by the present invention firstly applies the delay information matching method to bistatic positioning, compared with the traditional The ellipse positioning solves the positioning error problem caused by the sound ray bending in the bistatic positioning, and improves the positioning accuracy.

本发明具体优点如下:Concrete advantage of the present invention is as follows:

1、缩短了定位解算时间。上述步骤1和步骤3可以在对目标进行定位前完成,即各网格所需传播时间可以提前计算得到,在定位时只需要调用各网格时延信息,缩短了解算时间。1. Shorten the positioning calculation time. The above steps 1 and 3 can be completed before positioning the target, that is, the propagation time required by each grid can be calculated in advance, and only the time delay information of each grid needs to be called during positioning to shorten the calculation time.

2、克服了声线弯曲引起的定位误差问题。声线发生弯曲后,单基地的声线修正方法不能直接应用到双基地背景下,而双基地定位中传统的椭圆定位在声线弯曲后定位精度大幅度下降。利用时延信息进行匹配实现定位,声速变化可以体现在各个网格时延信息中,提高了定位精度。2. Overcome the problem of positioning error caused by sound ray bending. After the sound ray is bent, the single-base sound ray correction method cannot be directly applied to the bistatic background, and the positioning accuracy of the traditional elliptical positioning in bistatic positioning is greatly reduced after the sound ray is bent. The time delay information is used for matching to achieve positioning, and the change of sound velocity can be reflected in the time delay information of each grid, which improves the positioning accuracy.

附图说明Description of drawings

图1是栅格匹配流程图;Figure 1 is a grid matching flow chart;

图2是实施实例中环境声速剖面图;Fig. 2 is an environmental sound velocity profile in the implementation example;

图3是实施实例中发射站1对应亮点图1;Fig. 3 is the bright spot diagram 1 corresponding to transmitting station 1 in the implementation example;

图4是实施实例中发射站2对应亮点图2;Fig. 4 is the bright spot diagram 2 corresponding to the transmitting station 2 in the implementation example;

图5是实施实例中两发射站对应亮点交集图;Fig. 5 is the intersection diagram of bright spots corresponding to two transmitting stations in the implementation example;

图6是实施实例中定位结果图。Fig. 6 is a diagram of the positioning result in the implementation example.

具体实施方式Detailed ways

下面结合附图与具体实施方式对本发明作进一步详细描述。The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

结合具体参数给出本发明的实施案例如下:The implementation case of the present invention is given as follows in conjunction with specific parameters:

(1)确定环境参数:声速剖面如附图2所示,采用水平海底,海洋深度为5000m,海底参数分别为海底声速1600m/s,海底密度1.83g/cm3,海底衰减系数0.8dB/λ,将其输入声场建模软件BELLHOP;(1) Determination of environmental parameters: the sound velocity profile is shown in Figure 2, using the horizontal seabed, the ocean depth is 5000m, the seabed parameters are seabed sound velocity 1600m/s, seabed density 1.83g/cm 3 , seabed attenuation coefficient 0.8dB/λ , input it into the sound field modeling software BELLHOP;

(2)确定双基地基站布放参数:目标区域为水平距离范围0-15km,坐标单位为km,深度范围0-2000m,坐标单位为m,发射站1坐标(0,1000),接收站坐标(15,4990)。(2) Determine the deployment parameters of the bistatic base station: the target area is the horizontal distance range of 0-15km, the coordinate unit is km, the depth range is 0-2000m, the coordinate unit is m, the coordinates of the transmitting station 1 (0,1000), and the coordinates of the receiving station (15, 4990).

(3)将目标区域划分成100×30(m)的网格,遍历网格,通过BELLHOP分别计算t1和t2并求和得到

Figure BDA0003636442850000031
网格坐标与
Figure BDA0003636442850000032
一一对应。(3) Divide the target area into 100×30(m) grids, traverse the grids, calculate t 1 and t 2 through BELLHOP and sum them to get
Figure BDA0003636442850000031
grid coordinates with
Figure BDA0003636442850000032
One to one correspondence.

(4)获得实际测量声线总传播时间t=10.8604s,计算每个网格对应传播时间

Figure BDA0003636442850000033
与t的欧几里得距离,设定时延误差检测门限Δt=10ms。若
Figure BDA0003636442850000034
则保存该网格坐标,将该网格标记为亮点;若
Figure BDA0003636442850000035
删除该网格坐标,继续匹配下一网格。将保留的坐标标记为亮点,形成亮点图1,如附图3所示。(4) Obtain the total propagation time of the actual measured sound ray t=10.8604s, and calculate the corresponding propagation time of each grid
Figure BDA0003636442850000033
Euclidean distance from t, set time delay error detection threshold Δt=10ms. like
Figure BDA0003636442850000034
Then save the grid coordinates and mark the grid as a bright spot; if
Figure BDA0003636442850000035
Delete the grid coordinates and continue to match the next grid. Mark the reserved coordinates as bright spots to form a bright spot map 1, as shown in Figure 3.

(5)改变双基地基站布放参数中发射站2的坐标为(0,2000),重复进行(2)~(4),得到亮点图2,如附图4所示,对两次保留的目标位置取交集如图5所示,得到的交点为目标定位结果如附图6所示。(5) Change the coordinates of transmitting station 2 in the layout parameters of the bistatic base station to (0,2000), repeat (2) to (4), and obtain the bright spot map 2, as shown in Figure 4, for the two reserved The intersection of the target positions is shown in Figure 5, and the obtained intersection point is the target positioning result, as shown in Figure 6.

Claims (3)

1.一种基于栅格匹配的变声速下双基地定位方法,其特征在于,步骤如下:1. A bistatic positioning method based on grid matching under variable sound velocity, characterized in that the steps are as follows: 步骤一:确定环境参数,包括声速分布、海洋深度、海底地形的声线传播环境参数;Step 1: Determine environmental parameters, including sound velocity distribution, ocean depth, and sound ray propagation environmental parameters of seabed topography; 步骤二:输入双基地基站的布放参数,包括发射站、接收站位置信息,以及该布放参数下声线总传播时间的实际测量值t;Step 2: Input the deployment parameters of the bistatic base station, including the location information of the transmitting station and the receiving station, and the actual measured value t of the total propagation time of the sound rays under the deployment parameters; 步骤三:在目标搜索范围内划分网格,遍历网格,分别计算发射站到某网格直达声线传播时间t1及接收站到某网格直达声线传播时间t2,由
Figure FDA0003636442840000011
得到每个网格的总传播时间
Figure FDA0003636442840000012
Step 3: Divide the grid within the target search range, traverse the grid, and calculate the direct sound ray propagation time t 1 from the transmitting station to a certain grid and the direct sound ray propagation time t 2 from the receiving station to a certain grid, respectively, by
Figure FDA0003636442840000011
Get the total travel time for each grid
Figure FDA0003636442840000012
步骤四:依次计算每个网格对应传播时间
Figure FDA0003636442840000013
与给定声线总传播时间t的欧几里得距离,设定时延误差检测门限Δt,若
Figure FDA0003636442840000014
则保存该网格坐标,将该网格位置标记为亮点;若
Figure FDA0003636442840000015
则不保留网格坐标,继续计算下一网格。计算完成所有网格后的亮点坐标组成亮点图1;
Step 4: Calculate the propagation time corresponding to each grid in turn
Figure FDA0003636442840000013
Euclidean distance from the total travel time t of a given sound ray, set the delay error detection threshold Δt, if
Figure FDA0003636442840000014
Then save the grid coordinates and mark the grid position as a bright spot; if
Figure FDA0003636442840000015
Then the grid coordinates are not reserved, and the calculation of the next grid is continued. The coordinates of the bright spots after all the grids are calculated form the bright spot map 1;
步骤五:改变双基地基站布放参数,重复进行步骤2到步骤4,得到新的亮点图2;Step 5: Change the deployment parameters of the bistatic base station, repeat steps 2 to 4, and get a new bright spot map 2; 步骤六:对亮点图1和亮点图2的亮点坐标取交集,得到目标定位坐标结果。Step 6: Take the intersection of the coordinates of the bright spots in the bright spot map 1 and the bright spot map 2, and obtain the result of the target positioning coordinates.
2.根据权利要求1所述的一种基于栅格匹配的变声速下双基地定位方法,其特征在于,步骤三中,将目标搜索范围离散化为N个网格,网格数目越多,时延误差检测门限越低,定位精度越高,计算量越大,计算过程采用射线声学模型。2. A kind of bistatic positioning method based on grid matching according to claim 1, characterized in that, in step 3, the target search range is discretized into N grids, the more the grid number, The lower the time delay error detection threshold, the higher the positioning accuracy and the greater the calculation amount. The calculation process uses the ray acoustic model. 3.根据权利要求1所述的一种基于栅格匹配的变声速下双基地定位方法,其特征在于,步骤五和步骤六中,不同网格对应时延值可能相同,单次仿真保留了大量虚假目标位置,重复得到亮点图取交集可大量排除虚假位置。3. A grid-matching-based bistatic positioning method with variable sound velocity according to claim 1, characterized in that, in steps 5 and 6, the delay values corresponding to different grids may be the same, and a single simulation retains A large number of false target positions can be obtained by repeatedly obtaining the intersection of bright spot maps to eliminate a large number of false positions.
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