CN113641186A - Unmanned aerial vehicle formation radio frequency compatibility design method - Google Patents
Unmanned aerial vehicle formation radio frequency compatibility design method Download PDFInfo
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Abstract
The application relates to the technical field of airplane general design, in particular to a method for designing the radio frequency compatibility of formation of unmanned aerial vehicles, which comprises the steps of S1, obtaining the radio frequency spectrums of signal receiving and transmitting equipment used by a plurality of unmanned aerial vehicle platforms in the formation, and determining the signal receiving and transmitting equipment with interference; step S2, determining the minimum influence distance and the angle limit value of the sensor of the transceiver of each unmanned aerial vehicle platform according to the sensor characteristics of the signal transceiver of each unmanned aerial vehicle platform in the formation; step S3, determining the sensor use condition of the signal transceiver of each unmanned aerial vehicle platform in a given task mode; and step S4, determining the interference coupling condition of the antenna end of the signal transceiver of each unmanned aerial vehicle platform under the current position condition of each unmanned aerial vehicle platform according to the established unmanned aerial vehicle formation configuration. The method and the device can effectively improve the frequency spectrum utilization rate of the airplane based on each task mode, and solve the radio frequency compatibility of the formation system.
Description
Technical Field
The application relates to the technical field of airplane general design, in particular to a design method for radio frequency compatibility of formation of unmanned aerial vehicles.
Background
The formation cooperative execution task of the unmanned aerial vehicle is a main working mode of a subsequent unmanned platform, the radio frequency compatibility design technology between unmanned aerial vehicle cooperative formation systems in China at present has no related technology accumulation and technical description, and the existing civil unmanned aerial vehicle is basically demonstration type. For military use, the unmanned aerial vehicle is only a reconnaissance type or a reconnaissance and attack type integrated aircraft, not related to formation cooperation of homogeneous monomers, and has no related technical research aiming at formation cooperation radio frequency compatibility design of the unmanned aerial vehicle.
Aiming at other miniature or handheld small unmanned aerial vehicles, slide rail type launching unmanned aerial vehicles and other shooting or cluster demonstration unmanned aerial vehicles, the time division multiple access measurement and control (TDMA) technology of a single frequency point measurement and control link is generally adopted, the frequency spectrum management and control and radio frequency compatible comprehensive design technology of various task loads such as navigation, communication, measurement and control between a single platform and a formation is not involved, and the prior art is not enough to support the development and use of medium and large unmanned aerial vehicles.
Disclosure of Invention
The invention mainly solves the problem of the unmanned aerial vehicle formation radio frequency compatibility technology based on the task mode, and is also one of the technologies which must be solved in engineering development practice. The invention provides a frequency spectrum compatibility design technology based on a task mode aiming at unmanned aerial vehicle formation cooperation, and the frequency spectrum compatibility design and the frequency spectrum dynamic allocation design of frequency spectrum conflict equipment are developed by combining equipment frequency spectrum conflicts of tasks at each stage in the use process of an airplane and by using the use requirements of each unmanned aerial vehicle platform radio frequency equipment sensor between formations, and the frequency spectrum management and control design based on each platform isomorphic equipment (the same equipment) is developed, so that the same-frequency-width frequency spectrum transceiving radio frequency compatibility comprehensive design of a multi-unmanned aerial vehicle formation system is realized.
The application provides a method for designing radio frequency compatibility of formation of unmanned aerial vehicles, which mainly comprises the following steps:
step S1, acquiring radio frequency spectrums of signal receiving and transmitting devices used by a plurality of unmanned aerial vehicle platforms in a formation, and determining the signal receiving and transmitting devices with interference;
step S2, determining the minimum influence distance and the angle limit value of the sensor of the transceiver of each unmanned aerial vehicle platform according to the sensor characteristics of the signal transceiver of each unmanned aerial vehicle platform in the formation;
step S3, determining the sensor use condition of the signal transceiver of each unmanned aerial vehicle platform in a given task mode;
and step S4, determining the interference coupling condition of the antenna end of the signal transceiver of each unmanned aerial vehicle platform under the current position condition of each unmanned aerial vehicle platform according to the established unmanned aerial vehicle formation configuration.
Preferably, the method further comprises the following steps:
step S5, redesigning the signal transceiver device or redesigning the task mode of the signal transceiver device of the drone platform with interference coupling.
Preferably, in step S1, the signal transceiver device with interference is determined by constructing a device spectrum distribution characteristic diagram, which uses the spectrum as an abscissa and the device power or sensitivity as an ordinate, and indicates the areas where the transmitter and receiver spectrums are located on the ordinate and the abscissa, and the signal transceiver device with interference is determined by overlapping the areas.
Preferably, in step S2, the sensor characteristics include antenna pattern, polarity, transmit power, and receiver sensitivity.
Preferably, in step S2, the minimum influence distance and angle limit of the sensor of the transceiver device of each drone platform are determined through the formation system spectrum compatibility simulation and the antenna coupling simulation.
Preferably, in step S3, the mission mode includes a takeoff and climb phase, a formation phase, an departure phase, a mission-based formation configuration phase, a mission execution phase, a return phase, and a landing phase of the drone.
Preferably, in step S4, the method further includes:
according to the formation configuration, establishing an electromagnetic model of a transmitting sensor and an electromagnetic model of a receiving sensor according to a method corresponding to an actual electromagnetic parameter numerical model and a theoretical model of equipment;
simulating and analyzing the interference coupling condition of the antenna end of each heterogeneous shared frequency spectrum device under the condition of the spatial position of the formation configuration of the airplane;
carrying out simulation analysis on directional diagrams and receiving and transmitting influences of all isomorphic equipment sensors in the formation system under the formation spatial position condition;
a signal transceiving device that is in the presence of interference is determined.
Preferably, in step S5, the redesigning of the signal transceiver device includes: and coding the signal receiving and transmitting equipment of the plurality of unmanned aerial vehicle platforms in the formation by adopting frequency division multiple access and code division multiple access.
Preferably, the redesigning of the task pattern in step S5 includes:
and determining the equipment corresponding to the relatively important function in the task mode, and closing other equipment except the equipment.
The present application provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and capable of running on the processor, and the processor executes the computer program to implement the method for designing the formation radio frequency compatibility of the unmanned aerial vehicle.
Another aspect of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the method for designing the formation radio frequency compatibility of the drone is implemented.
The invention provides a brand-new radio frequency compatibility design method based on a task mode in an unmanned aerial vehicle formation system, aiming at the task mode stage, the use requirements of equipment sensors in the formation system are simulated and an interference matrix is determined, isomorphic and heterogeneous compatibility design methods are adopted to effectively solve the design of the shared frequency spectrum compatibility of the unmanned aerial vehicle, effectively solve the problem that the equipment function is limited and especially the performance of broadband working equipment is partially lost due to time domain rigid locking or closing, and fully release the working performance of the aircraft communication, navigation, measurement and control and each frequency band task load equipment in the working frequency domain.
The invention can effectively improve the frequency spectrum utilization rate of the airplane based on each task mode. The radio frequency compatibility of the formation system is solved. And the full play of the unmanned aerial vehicle formation task performance is ensured. The design method improves the overall design level of the electromagnetic compatibility of the unmanned aerial vehicle system.
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Fig. 1 is a flowchart of a design method for radio frequency compatibility of formation of unmanned aerial vehicles according to the present application.
Fig. 2 is a diagram of the spectral distribution characteristics of the transmitting and receiving devices of the present application.
Fig. 3 is a schematic diagram of antenna signal strength comparison of the present application.
Fig. 4 is a schematic view of a preferred embodiment of the electronic device of the present application.
Detailed Description
In order to make the implementation objects, technical solutions and advantages of the present application clearer, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all embodiments of the present application. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application, and should not be construed as limiting the present application. All other embodiments obtained by a person of ordinary skill in the art without any inventive work based on the embodiments in the present application are within the scope of protection of the present application. Embodiments of the present application will be described in detail below with reference to the drawings.
The application provides a design method for radio frequency compatibility of formation of unmanned aerial vehicles, as shown in fig. 1, the design method mainly comprises the following steps:
step S1, acquiring radio frequency spectrums of signal receiving and transmitting devices used by a plurality of unmanned aerial vehicle platforms in a formation, and determining the signal receiving and transmitting devices with interference;
step S2, determining the minimum influence distance and the angle limit value of the sensor of the transceiver of each unmanned aerial vehicle platform according to the sensor characteristics of the signal transceiver of each unmanned aerial vehicle platform in the formation;
step S3, determining the sensor use condition of the signal transceiver of each unmanned aerial vehicle platform in a given task mode;
and step S4, determining the interference coupling condition of the antenna end of the signal transceiver of each unmanned aerial vehicle platform under the current position condition of each unmanned aerial vehicle platform according to the established unmanned aerial vehicle formation configuration.
In some optional embodiments, the method for designing the formation radio frequency compatibility of the drones further includes:
step S5, redesigning the signal transceiver device or redesigning the task mode of the signal transceiver device of the drone platform with interference coupling.
In some optional embodiments, in step S1, the signal transceiver device in which interference exists is determined by constructing a device spectrum distribution characteristic diagram, where the device spectrum distribution characteristic diagram takes the spectrum as an abscissa and the device power or sensitivity as an ordinate, and the regions where the transmitter and receiver spectrums are located are respectively marked on the abscissa, and the signal transceiver device in which interference exists is determined by region overlapping.
Firstly, the distribution characteristics of the radio frequency spectrum in the formation system are analyzed and characterized. Performing spectrum characterization on working frequency bands and radio frequency electromagnetic parameters of all radio frequency devices of an aircraft platform, determining frequency spectrums of all transmitting devices and frequency spectrums of radio frequency receiving devices (shown in tables 1 and 2), drawing a distribution characteristic diagram of the transmitting and receiving frequency spectrums of the aircraft, wherein as shown in fig. 2, the frequency spectrums of the receiving and transmitting devices of the device 1 and the device 2 and the device 3 are overlapped, and the receiving frequency spectrums of the measurement and control device 1 and the measurement and control device 2 are overlapped. In alternative embodiments, matrix graphic notation may also be employed; and analyzing the frequency spectrum incompatible transceiver devices (devices for receiving or transmitting which are overlapped in the same frequency spectrum or working frequency band in the same period) in all the radio frequency devices according to the frequency spectrum distribution characteristics, and characterizing the frequency spectrum interference characteristics of the transceiver devices in the formation system.
TABLE 1 transmitter RF parameters
TABLE 2 receiver RF parameters
In some alternative embodiments, in step S2, the sensor characteristics include antenna pattern, polarity, transmit power, and receiver sensitivity.
In some optional embodiments, in step S2, the minimum influence distance and angle limit of the sensor of the transceiver device of each drone platform are determined through the formation system spectrum compatibility simulation and the antenna coupling simulation.
In this embodiment, design analysis of the influence of formation configuration of the unmanned aerial vehicles on formation compatibility is required. Formation of homogeneous drones, such as formation configuration: such as 2 or 4 frames, and can be grouped, or can be analyzed in a mode of multi-group collaborative cluster formation.
The method mainly analyzes the distance, height and angle of each aircraft platform between formation, particularly analyzes the influence of each platform equipment transmitting and receiving equipment antenna on other platforms by combining the antenna directional diagram, polarity, transmitting power and receiver sensitivity of each platform transceiver when dense formation and formation configuration change and re-formation, and provides the minimum influence distance and angle limit value of each platform multisource sensor (receiving or transmitting equipment) of formation configuration at multiple angles according to the spatial positioning and shared spectrum of each aircraft in a formation system, so as to prevent the receiving equipment of one aircraft in formation from receiving the spectrum transmitted by the transmitting equipment of other aircraft in formation and the receiving equipment with the same working frequency band, and causing interference. The contents of the part can be further developed by combining formation system frequency spectrum compatible simulation and antenna coupling simulation.
In some optional embodiments, in step S3, the mission mode includes a takeoff climb phase, a formation phase, a departure phase, a mission-based formation configuration phase, a mission execution phase, a return flight phase, and a landing phase of the drone.
In this embodiment, according to the formation configuration, the sensor use demand analysis based on the task mode and the use stage is performed, and the sensor use demands of the isomorphic equipment and the heterogeneous equipment of each platform in the typical task mode are determined (the receiving or transmitting condition of each stage/each equipment is determined); a spectrum access requirement matrix is listed for each platform transceiver device sensor usage requirement based on mission mode, as shown in table 3.
Table 3 spectrum access requirement matrix representation of each device usage requirement
In some optional embodiments, step S4 further includes:
according to the formation configuration, establishing an electromagnetic model of a transmitting sensor and an electromagnetic model of a receiving sensor according to a method corresponding to an actual electromagnetic parameter numerical model and a theoretical model of equipment;
simulating and analyzing the interference coupling condition of the antenna end of each heterogeneous shared frequency spectrum device under the condition of the spatial position of the formation configuration of the airplane;
carrying out simulation analysis on directional diagrams and receiving and transmitting influences of all isomorphic equipment sensors in the formation system under the formation spatial position condition;
a signal transceiving device that is in the presence of interference is determined.
In this embodiment, a predetermined formation configuration is obtained, and a design analysis of the spectrum compatibility in the formation system is developed according to the formation configuration. And carrying out simulation design analysis on frequency spectrum compatibility. According to the formation configuration, establishing an electromagnetic model of a transmitting sensor and an electromagnetic model of a receiving sensor according to a method corresponding to an actual electromagnetic parameter numerical model and a theoretical model of the equipment, and carrying out simulation design analysis on frequency spectrum compatibility; simulating and analyzing whether interference exists or not in the interference coupling condition of the antenna end of each heterogeneous shared frequency spectrum device under the condition of the spatial position of the formation configuration of the airplane formation; and (3) carrying out simulation analysis on directional diagrams and receiving and transmitting influences of all isomorphic equipment sensors in the formation system under the formation spatial position condition, and analyzing whether interference exists or not. The number of the aircraft/receiving-transmitting device in which the interference is present is determined.
For example, the upper antenna of the measurement and control 1 device of the number 2 machine serves as a receiving end, the lower right antenna of the measurement and control 1 device of the number 1 machine, and a simulation result shows that, as shown in fig. 3, a signal transmitted by the lower right antenna of the measurement and control 1 of the number 1 machine exceeds the sensitivity of a receiver of the upper antenna of the measurement and control 1 of the number 2 machine, so that the upper antenna of the measurement and control 1 of the number 2 machine receives a signal transmitted by the lower right antenna of the measurement and control 1 of the number 1 machine, and intra-formation co-frequency interference exists.
And then, according to the radio frequency spectrum compatibility simulation result, combining the working states (transmitting and receiving) of the tasks executed by each radio frequency device of the airplane, and establishing an interference correlation matrix in the formation system. As shown in table 4.
TABLE 4 formation of intersystem heterogeneous device interference correlation matrix
In table 4, "1" indicates interference and "0" indicates no interference.
In some optional embodiments, in step S5, the redesigning of the signal transceiver device includes: and coding the signal receiving and transmitting equipment of the plurality of unmanned aerial vehicle platforms in the formation by adopting frequency division multiple access and code division multiple access.
In some alternative embodiments, the redesigning of the mission pattern in step S5 includes:
and determining the equipment corresponding to the relatively important function in the task mode, and closing other equipment except the equipment.
Specifically, because there are many homogeneous devices (the same device of different airplanes) between formation systems, the use requirements of the sensors of the homogeneous devices of each platform based on the task mode are basically overlapped, and the main technical method for designing the compatibility between the homogeneous devices is described as follows:
the cooperative formation system is used as an integral system, for equipment which can adopt frequency division multiple access and code division multiple access, a multiple access method is adopted to avoid isomorphic interference, and for the equipment which can not adopt the measures, especially the isomorphic equipment which must be used when a certain task is executed, function redistribution design can be carried out according to the space direction of the formation airplane. For example, for the same equipment of a plurality of airplanes with same frequency interference, when certain task mode is determined, the equipment with important functions is ensured to be used, other equipment is closed, or the equipment of other platforms is replaced with the same functions, namely, a technical method of functional closing and watching in the system is adopted to realize the integrated functional design of the formation system, and the isomorphic interference is avoided.
For example, 4 aircraft in formation can only set a certain aircraft air traffic control answering device to work in the departure formation stage, and the function of other 3 aircraft can be temporarily closed, so that interference caused by simultaneous emission is avoided.
The application also provides an electronic device, which comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor implements the unmanned aerial vehicle formation radio frequency compatibility design method when executing the computer program.
The application also provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the design method for the unmanned aerial vehicle formation radio frequency compatibility can be realized.
FIG. 2 is an exemplary block diagram of an electronic device capable of implementing functionality provided in accordance with one embodiment of the present application. As shown in fig. 2, the electronic device includes an input device 501, an input interface 502, a central processor 503, a memory 504, an output interface 505, and an output device 506. The input interface 502, the central processing unit 503, the memory 504 and the output interface 505 are connected to each other through a bus 507, and the input device 501 and the output device 506 are connected to the bus 507 through the input interface 502 and the output interface 505, respectively, and further connected to other components of the electronic device. Specifically, the input device 504 receives input information from the outside and transmits the input information to the central processor 503 through the input interface 502; the central processor 503 processes input information based on computer-executable instructions stored in the memory 504 to generate output information, temporarily or permanently stores the output information in the memory 504, and then transmits the output information to the output device 506 through the output interface 505; the output device 506 outputs the output information to the outside of the electronic device for use by the user.
That is, the electronic device shown in fig. 2 may also be implemented to include: a memory storing computer-executable instructions; and one or more processors that when executing computer executable instructions may implement the unmanned aerial vehicle autonomous homing model training method described in connection with fig. 1.
In one embodiment, the electronic device shown in fig. 2 may be implemented to include: a memory 504 configured to store executable program code; one or more processors 503 configured to execute the executable program code stored in the memory 504 to perform the drone formation radio frequency compatibility design method in the above embodiments.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media include both non-transitory and non-transitory, removable and non-removable media that implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
Furthermore, it will be obvious that the term "comprising" does not exclude other elements or steps. A plurality of units, modules or devices recited in the device claims may also be implemented by one unit or overall device by software or hardware. The terms first, second, etc. are used to identify names, but not any particular order.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks identified in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The Processor in this embodiment may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, a discrete Gate or transistor logic device, a discrete hardware component, and so on. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the apparatus/terminal device by running or executing the computer programs and/or modules stored in the memory, as well as by invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required by at least one function (such as a sound playing function, an image playing function, etc.), and the like; the storage data area may store data (such as audio data, a phonebook, etc.) created according to the use of the cellular phone, and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
In this embodiment, the module/unit integrated with the apparatus/terminal device may be stored in a computer-readable storage medium if it is implemented in the form of a software functional unit and sold or used as a separate product. Based on such understanding, all or part of the flow in the method according to the embodiments of the present invention may also be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the steps of the above-described embodiments of the method. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that the computer readable medium may contain content that is appropriately increased or decreased as required by legislation and patent practice in the jurisdiction. Although the present application has been described with reference to the preferred embodiments, it is not intended to limit the present application, and those skilled in the art can make variations and modifications without departing from the spirit and scope of the present application.
Although the invention has been described in detail hereinabove with respect to a general description and specific embodiments thereof, it will be apparent to those skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. A method for designing radio frequency compatibility of formation of unmanned aerial vehicles is characterized by comprising the following steps:
step S1, acquiring radio frequency spectrums of signal receiving and transmitting devices used by a plurality of unmanned aerial vehicle platforms in a formation, and determining the signal receiving and transmitting devices with interference;
step S2, determining the minimum influence distance and the angle limit value of the sensor of the transceiver of each unmanned aerial vehicle platform according to the sensor characteristics of the signal transceiver of each unmanned aerial vehicle platform in the formation;
step S3, determining the sensor use condition of the signal transceiver of each unmanned aerial vehicle platform in a given task mode;
and step S4, determining the interference coupling condition of the antenna end of the signal transceiver of each unmanned aerial vehicle platform under the current position condition of each unmanned aerial vehicle platform according to the established unmanned aerial vehicle formation configuration.
2. The method of claim 1, further comprising:
step S5, redesigning the signal transceiver device or redesigning the task mode of the signal transceiver device of the drone platform with interference coupling.
3. The method for designing the radio frequency compatibility of formation of unmanned aerial vehicles according to claim 1, wherein in step S1, the signal transceiver device with interference is determined by constructing a device spectrum distribution characteristic diagram, the device spectrum distribution characteristic diagram takes the frequency spectrum as an abscissa and the device power or sensitivity as an ordinate, the areas where the frequency spectrums of the transmitter and the receiver are located are respectively marked on the abscissa and the ordinate, and the signal transceiver device with interference is determined by overlapping the areas.
4. The method of claim 1, wherein in step S2, the sensor characteristics include antenna pattern, polarization, transmit power, and receiver sensitivity.
5. The method of claim 1, wherein in step S2, the minimum influence distance and angle limit of the sensor of the transceiver device of each drone platform are determined through the formation system spectrum compatibility simulation and the antenna coupling simulation.
6. The method for designing radio frequency compatibility for formation of unmanned aerial vehicles according to claim 1, wherein in step S3, the mission mode includes a takeoff climb phase, a formation phase, an exit phase, a formation configuration phase based on mission, a mission execution phase, a return phase, and a landing phase of the unmanned aerial vehicle.
7. The method for designing radio frequency compatibility for formation of unmanned aerial vehicles according to claim 1, wherein in step S4, the method further comprises:
according to the formation configuration, establishing an electromagnetic model of a transmitting sensor and an electromagnetic model of a receiving sensor according to a method corresponding to an actual electromagnetic parameter numerical model and a theoretical model of equipment;
simulating and analyzing the interference coupling condition of the antenna end of each heterogeneous shared frequency spectrum device under the condition of the spatial position of the formation configuration of the airplane;
carrying out simulation analysis on directional diagrams and receiving and transmitting influences of all isomorphic equipment sensors in the formation system under the formation spatial position condition;
a signal transceiving device that is in the presence of interference is determined.
8. The method for designing radio frequency compatibility for formation of unmanned aerial vehicles according to claim 2, wherein in step S5, the redesign of the signal transceiver device includes: and coding the signal receiving and transmitting equipment of the plurality of unmanned aerial vehicle platforms in the formation by adopting frequency division multiple access and code division multiple access.
9. The method of claim 2, wherein the step S5 of redesigning the task mode includes:
and determining the equipment corresponding to the relatively important function in the task mode, and closing other equipment except the equipment.
10. An electronic device, comprising a memory, a processor, and a computer program stored in the memory and capable of running on the processor, wherein the processor, when executing the computer program, implements the drone formation radio frequency compatibility design method as above.
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---|---|---|---|---|
CN115015673A (en) * | 2022-07-04 | 2022-09-06 | 中国舰船研究设计中心 | Inter-platform electromagnetic interference characterization method based on multi-level electromagnetic interference matrix |
CN115189788A (en) * | 2022-07-04 | 2022-10-14 | 中国舰船研究设计中心 | Frequency spectrum allocation method for frequency use behavior, electronic equipment and storage medium |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060067381A1 (en) * | 2004-09-23 | 2006-03-30 | Chakravarthy Vasu D | Spectrum re-use employing transfer domain communications systems |
CN102098680A (en) * | 2011-03-16 | 2011-06-15 | 北京邮电大学 | Dynamic frequency spectrum management method and system |
CN107172704A (en) * | 2017-05-10 | 2017-09-15 | 叶仕通 | Cognitive heterogeneous network power distribution method based on collaborative spectrum sensing and interference constraints |
US20180004207A1 (en) * | 2016-06-30 | 2018-01-04 | Unmanned Innovation, Inc. (dba Airware) | Dynamically adjusting uav flight operations based on radio frequency signal data |
US20180081355A1 (en) * | 2016-09-19 | 2018-03-22 | Diametrex Limited | Radio frequency device detection and intervention |
CN109412715A (en) * | 2018-09-06 | 2019-03-01 | 中国航空工业集团公司沈阳飞机设计研究所 | Airborne communication radio frequency reception equipment quantizating index electromagnetic interference test system and method |
US20190246305A1 (en) * | 2016-03-08 | 2019-08-08 | Aurora Insight Inc. | Large scale radio frequency signal information processing and analysis system |
CN110401932A (en) * | 2019-07-26 | 2019-11-01 | 北京邮电大学 | A UAV swarm cooperative sensing system and method |
CN110581730A (en) * | 2019-08-30 | 2019-12-17 | 中国航空工业集团公司沈阳飞机设计研究所 | Electromagnetic spectrum distribution diagram and generation method and device thereof |
CN111713129A (en) * | 2019-10-17 | 2020-09-25 | 深圳市大疆创新科技有限公司 | Channel detection method and device |
CN211979869U (en) * | 2020-05-22 | 2020-11-20 | 山东首景辉光电科技有限公司 | Airborne unmanned aerial vehicle formation flight communication system |
-
2021
- 2021-08-08 CN CN202110905183.1A patent/CN113641186B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20060067381A1 (en) * | 2004-09-23 | 2006-03-30 | Chakravarthy Vasu D | Spectrum re-use employing transfer domain communications systems |
CN102098680A (en) * | 2011-03-16 | 2011-06-15 | 北京邮电大学 | Dynamic frequency spectrum management method and system |
US20190246305A1 (en) * | 2016-03-08 | 2019-08-08 | Aurora Insight Inc. | Large scale radio frequency signal information processing and analysis system |
US20180004207A1 (en) * | 2016-06-30 | 2018-01-04 | Unmanned Innovation, Inc. (dba Airware) | Dynamically adjusting uav flight operations based on radio frequency signal data |
US20180081355A1 (en) * | 2016-09-19 | 2018-03-22 | Diametrex Limited | Radio frequency device detection and intervention |
CN107172704A (en) * | 2017-05-10 | 2017-09-15 | 叶仕通 | Cognitive heterogeneous network power distribution method based on collaborative spectrum sensing and interference constraints |
CN109412715A (en) * | 2018-09-06 | 2019-03-01 | 中国航空工业集团公司沈阳飞机设计研究所 | Airborne communication radio frequency reception equipment quantizating index electromagnetic interference test system and method |
CN110401932A (en) * | 2019-07-26 | 2019-11-01 | 北京邮电大学 | A UAV swarm cooperative sensing system and method |
CN110581730A (en) * | 2019-08-30 | 2019-12-17 | 中国航空工业集团公司沈阳飞机设计研究所 | Electromagnetic spectrum distribution diagram and generation method and device thereof |
CN111713129A (en) * | 2019-10-17 | 2020-09-25 | 深圳市大疆创新科技有限公司 | Channel detection method and device |
CN211979869U (en) * | 2020-05-22 | 2020-11-20 | 山东首景辉光电科技有限公司 | Airborne unmanned aerial vehicle formation flight communication system |
Non-Patent Citations (2)
Title |
---|
ADAM M. KROENING 等: "RF performance of lightweight multi horn switched beam antennas made of injection molded plastics for unmanned systems", 《IEEE XPLORE》, pages 1 - 4 * |
孙荣平 等: "复杂电磁环境下机载电子设备的电磁兼容仿真研究", 《装备环境工程》, vol. 9, no. 2, pages 57 - 60 * |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115015673A (en) * | 2022-07-04 | 2022-09-06 | 中国舰船研究设计中心 | Inter-platform electromagnetic interference characterization method based on multi-level electromagnetic interference matrix |
CN115189788A (en) * | 2022-07-04 | 2022-10-14 | 中国舰船研究设计中心 | Frequency spectrum allocation method for frequency use behavior, electronic equipment and storage medium |
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