Networking radar data fusion analysis method and system

Abstract

The invention particularly relates to a networking radar data fusion analysis method and system. The method comprises the following steps: calling map data, and configuring radar networking configuration parameters according to a currently configured target scene and radar performance parameters; configuring multi-target trajectory data; the multi-target trajectory data comprises a target type corresponding to a target scene and original trajectory data; random noise data and / or false alarm points are added to the original track data to generate primary trace point data, and the primary trace point data are input to the radars so that the radars can perform target tracking based on the primary trace point data, and a simulated track is output; acquiring a detection trace point output by each radar, performing track fusion processing on each detection trace point, and generating a corresponding fusion track; and comparing the fused track with the multi-target track data to obtain corresponding track precision evaluation data. According to the method, data fusion simulation of various different scenes can be realized; and real-time analysis of the data can be supported.

Description

Technical Field

[0001] The present invention relates to the field of radar technology, and in particular to a networked radar data fusion analysis method and system, and a computer program product. Background Art

[0002] In the field of tracking and detection, with the improvement of tracking performance requirements, the use of a single radar for tracking and detection can no longer meet the performance requirements. When using radar networking for air situation analysis, such as when conducting networking tests, a large amount of resources need to be dispatched, such as calling different radars or aircraft. This is not conducive to daily research.

[0003] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present invention, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention

[0004] The present invention provides a network radar data fusion analysis method and system, and a computer program product, which simulate multiple scenarios and facilitate the analysis of network radar data fusion, thereby overcoming the defects in the prior art to a certain extent.

[0005] Other features and advantages of the present invention will become apparent from the following detailed description, or may be learned in part by practice of the present invention.

[0006] According to a first aspect of the present invention, a networked radar data fusion analysis method is provided, the method comprising:

[0007] Calling map data, and configuring radar networking configuration parameters according to the currently configured target scene and radar performance parameters; wherein the radar networking configuration parameters include: the number of radars, and the band parameters corresponding to each radar, the location information based on the map data, the detection range, the multicast address and the combination of any multiple items of the port information;

[0008] Configuring multi-target trajectory data; the multi-target trajectory data includes: target types corresponding to target scenes, and original trajectory data;

[0009] Adding random noise data and / or false alarm points to the original trajectory data to generate primary point trajectory data, and inputting the primary point trajectory data to each radar, so that each radar can track the target based on the primary point trajectory data and output a simulated track;

[0010] Obtain the detection point tracks output by each radar, perform track fusion processing on each detection point track, and generate corresponding fused tracks;

[0011] The fused track is compared with the multiple target track data to obtain corresponding track accuracy evaluation data.

[0012] In some exemplary embodiments, the trajectory information corresponding to the target includes: real trajectory data and / or simulated trajectory data;

[0013] The track information includes multiple sub-tracks;

[0014] The method further comprises:

[0015] Trajectory combination processing is performed according to the time features corresponding to each sub-trajectory to obtain trajectory information corresponding to the target.

[0016] In some exemplary embodiments, the method further comprises:

[0017] Configure the radar's scanning time interval and detection probability according to the minimum scanning period corresponding to each radar.

[0018] In some exemplary embodiments, sending the primary point trace data to each radar to obtain the detection point trace output by each radar includes:

[0019] Each radar performs trajectory transformation processing on the received primary point track data based on the preconfigured data processing method to generate a corresponding simulated track.

[0020] In some exemplary embodiments, performing track fusion processing on each detection point track to obtain a corresponding fused track includes:

[0021] Configure the fusion center coordinate system and perform coordinate system conversion on each simulated track to obtain the simulated track in the fusion center coordinate system;

[0022] The track fusion processing is performed on each detection point track in the fusion center coordinate system to obtain the fused track.

[0023] In some exemplary embodiments, the method further comprises:

[0024] In response to a selection operation input by a user, any one or more of the fused track, the single radar track, the primary track data input by each radar, and the fusion center condensed track are displayed on the graphical user interface.

[0025] According to a second aspect of the present invention, a networked radar data fusion analysis system is provided, comprising:

[0026] A simulation module, for calling map data, and configuring radar networking configuration parameters according to the currently configured target scene and radar performance parameters; and configuring multi-target trajectory data; wherein the radar networking configuration parameters include: the number of radars, and the band parameters corresponding to each radar, the location information based on the map data, the detection range, the multicast address and the port information, and any combination of multiple items; the multi-target trajectory data includes: the target type corresponding to the target scene, and the original trajectory data;

[0027] A sensor module, used for adding random noise data and / or false alarm points to the original trajectory data to generate primary point trajectory data, and inputting the primary point trajectory data to each radar, so that each radar can track the target based on the primary point trajectory data and output a simulated track;

[0028] A processing module is used to obtain the detection point tracks output by each radar, perform track fusion processing on each detection point track, and generate a corresponding fused track;

[0029] The evaluation module is used to compare the fused track with the multiple target track data to obtain corresponding track accuracy evaluation data.

[0030] According to a third aspect of the present invention, there is provided a computer program product having a computer program stored thereon, and when the computer program is executed by a processor, the above-mentioned networked radar data fusion analysis method is implemented.

[0031] According to a fourth aspect of the present invention, there is provided a storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the above-mentioned networked radar data fusion analysis method.

[0032] According to a fifth aspect of the present invention, there is provided an electronic device, comprising:

[0033] Processor; and

[0034] A memory, configured to store executable instructions of the processor;

[0035] Wherein, the processor is configured to implement the above-mentioned networked radar data fusion analysis method by executing the executable instructions.

[0036] The networked radar data fusion analysis method provided by the embodiment of the present invention calls map data and configures radar network configuration parameters according to the currently configured target scene and radar performance parameters; configures multi-target trajectory data; and adds random noise data and / or false alarm points to the original trajectory data to generate primary point track data, and inputs the primary point track data to each radar, so that each radar can track the target based on the primary point track data and output a simulated track; then obtains the detection point track output by each radar, performs track fusion processing on each detection point track, and generates a corresponding fused track. Thereby, data fusion simulation of the networked radar can be realized, which is convenient for subsequent comparison and analysis of the fused track. By configuring the target scene and multi-target trajectory data, data fusion simulation of a variety of different scenes can be realized; and real-time analysis of data can be supported.

[0037] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The accompanying drawings herein are incorporated into and constitute a part of the specification, illustrate embodiments consistent with the present invention, and together with the specification are used to explain the principles of the present invention. Obviously, the accompanying drawings described below are only some embodiments of the present invention, and for those of ordinary skill in the art, other accompanying drawings can be obtained based on these accompanying drawings without creative work.

[0039] Figure 1 A schematic diagram schematically illustrates a method for fusion analysis of networked radar data according to an exemplary embodiment of the present invention;

[0040] Figure 2 A schematic diagram schematically illustrates a flow chart of a networked radar data fusion analysis method according to an exemplary embodiment of the present invention;

[0041] Figure 3 A schematic diagram schematically illustrates the requirements of a networked radar data fusion analysis according to an exemplary embodiment of the present invention;

[0042] Figure 4 The figure schematically shows the composition of an electronic device in an exemplary embodiment of the present invention. DETAILED DESCRIPTION

[0043] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present invention will be more comprehensive and complete and fully convey the concepts of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

[0044] In addition, the accompanying drawings are only schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the figures represent the same or similar parts, and their repeated description will be omitted. Some of the block diagrams shown in the accompanying drawings are functional entities and do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or implemented in one or more hardware modules or integrated circuits, or implemented in different networks and / or processor devices and / or microcontroller devices.

[0045] In view of the shortcomings and deficiencies of the prior art, this example implementation provides a network radar data fusion analysis method. Figure 1 As shown, the network radar data fusion analysis method may specifically include the following steps:

[0046] Step S11, calling the map data, and configuring the radar networking configuration parameters according to the currently configured target scene and radar performance parameters; wherein the radar networking configuration parameters include: the number of radars, and the band parameters corresponding to each radar, the location information based on the map data, the detection range, the multicast address and the combination of any multiple items of the port information;

[0047] Step S12, configuring multi-target trajectory data; the multi-target trajectory data includes: target types corresponding to target scenes, and original trajectory data;

[0048] Step S13, adding random noise data and / or false alarm points to the original trajectory data to generate primary point trajectory data, and inputting the primary point trajectory data to each radar, so that each radar can track the target based on the primary point trajectory data and output a simulated track;

[0049] Step S14, obtaining the detection point tracks output by each radar, performing track fusion processing on each detection point track, and generating a corresponding fused track.

[0050] Below, each step of the networked radar data fusion analysis method in this example implementation will be described in more detail with reference to the accompanying drawings and embodiments.

[0051] In step S11, map data is called, and radar networking configuration parameters are configured according to the currently configured target scene and radar performance parameters; wherein the radar networking configuration parameters include: the number of radars, and the band parameters corresponding to each radar, location information based on map data, detection range, multicast address and port information, and any combination of multiple items thereof.

[0052] In this example implementation, a user can create an analysis task for the fusion data of the networked radar on a terminal device, and the analysis system executes the task. The terminal device can be connected to multiple radar devices or simulated radar devices.

[0053] For example, the analysis system may provide a simulation module that provides radar array layout functions and multi-target motion trajectory simulation functions.

[0054] Specifically, you can first call the map data and load the global map; and call the parameters and positions of different radars on the map. For example, you can configure the configuration parameters of the radar network according to the simulated target scene currently configured by the user. For example, the simulated target scene can be a tracking task for different types of tracking targets; such as low, small and slow targets, military aircraft targets, civil aviation targets, etc.

[0055] Specifically, you can configure the number of radars, the location information of each radar in the global map, and the band parameters, detection range, multicast address and port information of each radar. In the graphical user interface of the terminal device, the radar can intuitively display the detection range of the radar.

[0056] In step S12, multi-target trajectory data is configured; the multi-target trajectory data includes: target types corresponding to target scenes, and original trajectory data.

[0057] Specifically, the trajectory simulation function provided by the simulation module can be used to set the trajectory of multiple targets. For example, the user can select the type of target and the corresponding multiple trajectories and motion modes in the graphical user interface of the terminal device. Among them, the motion modes include linear motion, uniformly accelerated motion, circling, serpentine maneuver, right-angle turn, figure eight maneuver, etc.

[0058] Exemplarily, the trajectory information corresponding to the target includes: real trajectory data and / or simulated trajectory data. The trajectory information includes multiple sub-trajectories.

[0059] The method further includes: performing trajectory combination processing according to the time features corresponding to each sub-trajectory to obtain trajectory information corresponding to the target.

[0060] For example, the currently configured multi-target trajectory may use real trajectory data, or simulated trajectory data generated by a simulation tool. In addition, the trajectory data may include multiple sub-trajectories corresponding to different time periods, and multiple trajectories may be sequentially superimposed according to time.

[0061] Exemplarily, the method further includes: configuring the scanning time interval and detection probability of the radar according to the minimum scanning period corresponding to each radar.

[0062] Specifically, after loading the target scene according to the configuration data, the target's true value time interval and detection probability can be set, and the trajectory running curve can be automatically previewed in the graphical user interface of the terminal device. The scene operation can be accelerated or run in real time. All radar arrays and trajectories can be intuitively displayed on the interface.

[0063] In step S13, random noise data and / or false alarm points are added to the original trajectory data to generate primary point trajectory data, and the primary point trajectory data is input to each radar so that each radar can track the target based on the primary point trajectory data and output a simulated trajectory.

[0064] Exemplarily, the analysis system may provide a sensor module for providing radar trace generation and display functions. For the original trajectory data, random noise may be added to form a trace of each radar input, and then random false alarm points may be generated in space to form false alarm points of each radar input, and traces of radar sweep mode or phase sweep mode may be generated. In addition, the generated multi-target trajectory information, traces of each radar input, and false alarm points may be displayed on the terminal device.

[0065] In step S14, the detection point tracks output by each radar are obtained, track fusion processing is performed on each detection point track, and a corresponding fusion track is generated.

[0066] Exemplarily, the analysis system may provide a processing module for providing point track fusion processing functions, track fusion processing functions, and single radar data processing functions. Specifically, after the multi-target trajectories are input into each radar, the simulated detection point track data generated by each radar may be obtained. Specifically, the detection point tracks of all radars may be converted to the fusion center coordinate system for centralized processing, the simulated point tracks may be condensed first, and then the condensed point track data may be fused to generate a fused track. When performing track fusion, weighted fusion processing may be performed based on the pre-configured weight coefficients of each radar to obtain a fused track.

[0067] Exemplarily, the sending the primary point trace data to each radar to obtain the detection point trace output by each radar includes:

[0068] Each radar performs trajectory transformation processing on the received primary point track data based on the preconfigured data processing method to generate the corresponding simulated track.

[0069] In addition, track data can be generated based on the point traces corresponding to each radar and the data processing algorithm of this radar to realize single radar data processing. For each radar, the data association algorithm, filtering algorithm, initial threshold of fusion track quality, condensation gate, etc. can be configured in advance through the corresponding configuration file.

[0070] Based on the above content, in this example implementation, the above method may further include:

[0071] Step S15, comparing the fused track with the multiple target track data to obtain corresponding track accuracy evaluation data.

[0072] Exemplarily, the analysis system can provide an evaluation module for providing accuracy evaluation function and display control function. Specifically, firstly, the trajectory information true value of the simulation module and the evaluation accuracy of the fused track or single-station track are received, and the statistical accuracy of the warning zone boundary is evaluated, including the output track x, y direction position accuracy, target height evaluation error, heading error, speed error, etc. The whole tracking accuracy is evaluated, the probability of correct association between the point track and the target, the probability of track confusion, the heading error of the stable tracking output track, the tracking improvement rate, etc.

[0073] In addition, the measured point tracks and track data can be directly input into the processing module for processing. The input of multiple radar tracks can be used for track fusion, and the input of multiple radar point tracks can be used for point track fusion to obtain fused tracks. If there is a true value file, it can be compared with the fused track and the accuracy can be evaluated.

[0074] Exemplarily, the method further includes: in response to a selection operation input by a user, displaying any one or more of the fused track, the single radar track, the primary track data input by each radar, and the fusion center condensed track on a graphical user interface.

[0075] For example, the user can select the fusion track, single radar track, radar input point track, fusion center condensed point track, etc. that need to be viewed in the graphical user interface of the terminal device, and display them in the terminal device.

[0076] The method provided in the embodiment of the present invention is referred to Figure 2 As shown, the global map can be loaded first; multiple radar stations are deployed, radar location information and characteristic parameters are input; multiple target types and expected running trajectories are input; then each radar input point trace is generated and false alarm points are added; after the simulation starts, each radar station tracks the target separately; the point trace data is output; then the fusion center performs fusion processing; and then the fusion track accuracy is analyzed. This method can take into account various types of radars and various types of targets by pre-configuring the scene and the target; and realize the changeable target trajectory, and can simulate more complex maneuvering target combinations, such as serpentine maneuvers, right-angle turns, etc. False alarm points can also be automatically generated for the trajectory of each radar. By receiving the simulated point trace data of the radar in real time, the accuracy can be automatically evaluated in real time, and the analysis of measured data can be supported. In addition, this method can realize the analysis of various indicators offline. This method provides a new data fusion analysis method, which is applied to the situation assessment of networked radars, and can be used for preliminary laboratory analysis at a relatively low cost, with high engineering application value.

[0077] It should be noted that the above figures are only schematic illustrations of the processes included in the method according to an exemplary embodiment of the present invention, and are not intended to be limiting. It is easy to understand that the processes shown in the above figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0078] For further reference, Figure 3 As shown, in the implementation of this example, a networked radar data fusion analysis system 30 is also provided, including:

[0079] The simulation module 301 is used to call the map data, and configure the radar network configuration parameters according to the currently configured target scene and radar performance parameters; and configure the multi-target trajectory data; wherein the radar network configuration parameters include: the number of radars, and the band parameters corresponding to each radar, the location information based on the map data, the detection range, the multicast address and the port information. Any combination of multiple items; the multi-target trajectory data includes: the target type corresponding to the target scene, and the original trajectory data;

[0080] The sensor module 302 is used to add random noise data and / or false alarm points to the original trajectory data to generate primary point trajectory data, and input the primary point trajectory data to each radar, so that each radar can track the target based on the primary point trajectory data and output a simulated track;

[0081] The processing module 303 is used to obtain the detection point tracks output by each radar, perform track fusion processing on each detection point track, and generate a corresponding fused track.

[0082] Exemplarily, the system further includes:

[0083] The evaluation module 304 is used to compare the fused track with the multiple target track data to obtain corresponding track accuracy evaluation data.

[0084] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.

[0085] Figure 4 A schematic diagram of an electronic device suitable for implementing an embodiment of the present invention is shown.

[0086] It should be noted that Figure 4The electronic device 1000 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0087] like Figure 4 As shown, the electronic device 1000 includes a central processing unit (CPU) 1001, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1002 or the program loaded from the storage part 1008 to the random access memory (RAM) 1003. In the RAM 1003, various programs and data required for system operation are also stored. The CPU 1001, ROM 1002 and RAM 1003 are connected to each other through a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0088] The following components are connected to the I / O interface 1005: an input section 1006 including a keyboard, a mouse, etc.; an output section 1007 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1008 including a hard disk, etc.; and a communication section 1009 including a network interface card such as a LAN (Local Area Network) card, a modem, etc. The communication section 1009 performs communication processing via a network such as the Internet. A drive 1010 is also connected to the I / O interface 1005 as needed. A removable medium 1011, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1010 as needed, so that a computer program read therefrom is installed into the storage section 1008 as needed.

[0089] In particular, according to an embodiment of the present invention, the process described below with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a storage medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication part 1009, and / or installed from a removable medium 1011. When the computer program is executed by a central processing unit (CPU) 1001, various functions defined in the system of the present application are executed.

[0090] It should be noted that the storage medium shown in the embodiment of the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM), a flash memory, an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any storage medium other than computer-readable storage media, which may send, propagate, or transmit programs for use by or in conjunction with an instruction execution system, apparatus, or device. The program code contained on the storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the above.

[0091] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0092] The units involved in the embodiments of the present invention may be implemented by software or hardware, and the units described may also be arranged in a processor. The names of these units do not, in some cases, limit the units themselves.

[0093] It should be noted that, as another aspect, the present application also provides a storage medium, which can be included in an electronic device; or it can exist independently without being installed in the electronic device. The above storage medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the method described in the following embodiments. For example, the electronic device can implement the following Figure 1 The individual steps of the method are shown.

[0094] In one embodiment, the present application provides a computer program product, including a computer program, which implements the steps in the above-mentioned method embodiments when executed by a processor.

[0095] In addition, the above-mentioned figures are only schematic illustrations of the processes included in the method according to an exemplary embodiment of the present invention, and are not intended to be limiting. It is easy to understand that the processes shown in the above-mentioned figures do not indicate or limit the time sequence of these processes. In addition, it is also easy to understand that these processes can be performed synchronously or asynchronously, for example, in multiple modules.

[0096] Other embodiments of the invention will readily occur to those skilled in the art after considering the specification and practicing the invention herein. This application is intended to cover any variations, uses, or adaptations of the invention that follow the general principles of the invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The specification and examples are to be considered exemplary only, and the true scope and spirit of the invention are indicated by the claims.

[0097] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A network radar data fusion analysis method, characterized in that: The method comprises: Calling map data, and configuring radar networking configuration parameters according to the currently configured target scene and radar performance parameters; wherein the radar networking configuration parameters include: the number of radars, and the band parameters corresponding to each radar, the location information based on the map data, the detection range, the multicast address and the combination of any multiple items of the port information; Configuring multi-target trajectory data; the multi-target trajectory data includes: target types corresponding to target scenes, and original trajectory data; Adding random noise data and / or false alarm points to the original trajectory data to generate primary point trajectory data, and inputting the primary point trajectory data to each radar, so that each radar can track the target based on the primary point trajectory data and output a simulated track; Obtain the detection point tracks output by each radar, perform track fusion processing on each detection point track, and generate corresponding fused tracks; The fused track is compared with the multiple target track data to obtain corresponding track accuracy evaluation data.

2. The method according to claim 1, characterized in that The trajectory information corresponding to the target includes: real trajectory data and / or simulated trajectory data; The track information includes multiple sub-tracks; The method further comprises: Trajectory combination processing is performed according to the time features corresponding to each sub-trajectory to obtain trajectory information corresponding to the target.

3. The method according to claim 1, characterized in that The method further comprises: Configure the radar's scanning time interval and detection probability according to the minimum scanning period corresponding to each radar.

4. The method according to claim 1, characterized in that: The step of sending the primary point trace data to each radar to obtain the detection point trace output by each radar includes: Each radar performs trajectory transformation processing on the received primary point track data based on the preconfigured data processing method to generate a corresponding simulated track.

5. The method according to claim 1 or 4, characterized in that: The step of performing track fusion processing on each detection point track to obtain a corresponding fused track includes: Configure the fusion center coordinate system and perform coordinate system conversion on each simulated track to obtain the simulated track in the fusion center coordinate system; The track fusion processing is performed on each detection point track in the fusion center coordinate system to obtain the fused track.

6. The method according to claim 1, characterized in that The method further comprises: In response to a selection operation input by a user, any one or more of the fused track, the single radar track, the primary track data input by each radar, and the fusion center condensed track are displayed on the graphical user interface.

7. A networked radar data fusion analysis system, characterized in that: The system comprises: A simulation module, for calling map data, and configuring radar networking configuration parameters according to the currently configured target scene and radar performance parameters; and configuring multi-target trajectory data; wherein the radar networking configuration parameters include: the number of radars, and the band parameters corresponding to each radar, the location information based on the map data, the detection range, the multicast address and the port information, and any combination of multiple items; the multi-target trajectory data includes: the target type corresponding to the target scene, and the original trajectory data; A sensor module, used for adding random noise data and / or false alarm points to the original trajectory data to generate primary point trajectory data, and inputting the primary point trajectory data to each radar, so that each radar can track the target based on the primary point trajectory data and output a simulated track; A processing module is used to obtain the detection point tracks output by each radar, perform track fusion processing on each detection point track, and generate a corresponding fused track; The evaluation module is used to compare the fused track with the multiple target track data to obtain corresponding track accuracy evaluation data.

8. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the networked radar data fusion analysis method according to any one of claims 1 to 6 is implemented.

9. A storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the networked radar data fusion analysis method according to any one of claims 1 to 6 is implemented.

10. An electronic device, characterized in that: include: processor; as well as A memory, configured to store executable instructions of the processor; Wherein, the processor is configured to execute the networked radar data fusion analysis method according to any one of claims 1 to 6 by executing the executable instructions.

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