Optimal direction indication degree measurement method and device based on direction finding accuracy and readable medium

Abstract

The invention discloses an optimal direction indication degree measurement method and device based on direction finding accuracy and a readable medium, and the method comprises the steps: obtaining integral time from a starting single-frequency-point direction finding instruction when the starting single-frequency-point direction finding instruction is received; obtaining a to-be-counted signal direction indication degree; counting times corresponding to the to-be-counted signal direction indication are accumulated in the direction indication statistical table, and an updated direction indication statistical table is obtained; timing is started after the first single frequency point direction finding result data is received, the above steps are repeated until the timing time reaches the integral time, and a direction indication degree statistical table after the last time of updating is obtained; obtaining the direction finding accuracy, finding out the signal direction finding degree corresponding to the maximum statistical frequency in the direction finding degree statistical table updated for the last time, determining a statistical angle range by combining the direction finding accuracy, and performing weighted calculation on each signal direction finding degree in the statistical angle range and the statistical frequency thereof to obtain the optimal direction finding degree. And the optimal direction indication degree is more in line with the actual application scene requirements.

Description

Technical Field

[0001] The present invention relates to the field of direction finding, and in particular to an optimal directionality measurement method, device and readable medium based on direction finding accuracy. Background Art

[0002] In the field of radio monitoring, using spectrum monitoring and direction finding equipment to complete direction finding tasks is a relatively complex process, and it is particularly important to display the result information more accurately, efficiently and intuitively. In actual applications, existing spectrum monitoring and direction finding equipment will have unstable direction finding angle deviations and a few direction finding results errors, so operators cannot intuitively obtain the actual direction finding result information of the equipment. Summary of the invention

[0003] The purpose of this application is to propose an optimal directionality measurement method, device and readable medium based on direction finding accuracy in response to the above-mentioned technical problems.

[0004] In a first aspect, the present invention provides an optimal direction finding accuracy-based direction finding measurement method, comprising the following steps:

[0005] S1, construct a azimuth statistic table, in which the azimuth statistic table records the statistical times corresponding to each signal azimuth, and the statistical times are initially 0;

[0006] S2, in response to determining that an instruction to start single-frequency direction finding is received, obtaining an integration time from the instruction to start single-frequency direction finding;

[0007] S3, performing single-frequency direction finding on the direction finding device and obtaining single-frequency direction finding result data, and obtaining the signal directionality to be counted from the single-frequency direction finding result data;

[0008] S4, accumulating the statistical times corresponding to the signal directionality to be counted in the directionality statistical table and updating the directionality statistical table to obtain an updated directionality statistical table;

[0009] S5, starting timing from the time when the single-frequency direction finding instruction is received and the first single-frequency direction finding result data is received, if the timing time does not reach the integration time, repeating steps S3-S4 until the timing time reaches the integration time, and obtaining the last updated direction indication statistics table;

[0010] S6, obtain the direction finding accuracy, find the signal direction finding corresponding to the maximum statistical number in the direction finding statistical table after the last update, determine the statistical angle range according to the signal direction finding corresponding to the maximum statistical number and the direction finding accuracy, perform weighted calculation on each signal direction finding and its statistical number in the direction finding statistical table after the last update that are within the statistical angle range, obtain the optimal direction finding corresponding to the current integration time, and clear the statistical number and timing in the direction finding statistical table after the last update.

[0011] Preferably, the statistical angle range is (ab / 2, a+b / 2), wherein a represents the signal bearing corresponding to the maximum statistical number in the bearing statistical table after the last update, and b represents the direction finding accuracy.

[0012] As a preferred method, the calculation formula of the optimal orientation is:

[0013]

[0014] Where i represents the direction of each signal within the statistical angle range, c i represents the statistical number of times each signal directionality is within the statistical angle range, and θ represents the optimal directionality.

[0015] As a preference, it also includes:

[0016] S7, repeat steps S3-S6 to obtain the optimal orientation corresponding to each integration time.

[0017] As a preference, it also includes:

[0018] In response to determining that the single-frequency direction finding stop instruction is received, the single-frequency direction finding is stopped on the direction finding device, and steps S2 to S7 are repeated.

[0019] As a preference, it also includes:

[0020] If the timing time does not reach the integration time, the direction of the signal to be counted will be sent to the host computer in real time and displayed;

[0021] If the timing time reaches the integration time, the optimal orientation will be sent to the host computer and displayed.

[0022] In a second aspect, the present invention provides an optimal directionality measurement device based on direction finding accuracy, comprising:

[0023] The statistical table building module is configured to build a azimuth statistical table, in which the azimuth statistical table records the statistical times corresponding to each signal azimuth, and the statistical times are initially 0;

[0024] The starting direction finding module is configured to, in response to determining that a starting single-frequency direction finding instruction is received, obtain an integration time from the starting single-frequency direction finding instruction;

[0025] A data acquisition module is configured to perform single-frequency direction finding on the direction finding device and obtain single-frequency direction finding result data, and obtain the signal direction indication to be counted from the single-frequency direction finding result data;

[0026] A statistical module is configured to accumulate the statistical times corresponding to the signal directionality to be counted in the directionality statistical table and update the directionality statistical table to obtain an updated directionality statistical table;

[0027] A repetition module is configured to start timing from the time when the single-frequency direction finding instruction is received and the first single-frequency direction finding result data is received. If the timing time does not reach the integration time, the data acquisition module and the statistical module are repeatedly executed until the timing time reaches the integration time, thereby obtaining the last updated direction indication statistical table;

[0028] The optimal direction-indicating calculation module is configured to obtain the direction-finding accuracy, find the signal direction-indicating corresponding to the maximum statistical number in the direction-indicating statistical table after the last update, determine the statistical angle range according to the signal direction-indicating corresponding to the maximum statistical number and the direction-finding accuracy, perform weighted calculation on each signal direction-indicating and its statistical number within the statistical angle range in the direction-indicating statistical table after the last update, obtain the optimal direction-indicating corresponding to the current integration time, and clear the statistical number and timing in the direction-indicating statistical table after the last update.

[0029] In a third aspect, the present invention provides an electronic device comprising one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method described in any implementation manner in the first aspect.

[0030] In a fourth aspect, the present invention provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method described in any implementation manner in the first aspect.

[0031] In a fifth aspect, the present invention provides a computer program product, comprising a computer program, which, when executed by a processor, implements the method described in any implementation manner in the first aspect.

[0032] Compared with the prior art, the present invention has the following beneficial effects:

[0033] (1) The optimal direction indication measurement method based on direction finding accuracy proposed in the present invention can more accurately and efficiently intuitively display the direction finding result information of the spectrum monitoring and direction finding equipment. The operator can make a correct decision by combining the real-time signal direction indication and the optimal direction indication result of the single-frequency direction finding function.

[0034] (2) The optimal directionality measurement method based on direction finding accuracy proposed in the present invention takes direction finding accuracy as a benchmark, and the statistically calculated optimal directionality is more in line with the requirements of the device in actual application scenarios. Therefore, the calculated optimal directionality more accurately reflects the target angle of the actual transmitting source.

[0035] (3) The optimal direction finding accuracy-based direction finding measurement method proposed in the present invention solves the problems of unstable direction finding angle deviation and a small number of erroneous direction finding results in practical applications of existing spectrum monitoring and direction finding equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0037] Figure 1 A schematic flow chart of an optimal directionality measurement method based on direction finding accuracy according to an embodiment of the present application;

[0038] Figure 2 A schematic diagram of an output result of an optimal direction finding accuracy-based direction finding method according to an embodiment of the present application;

[0039] Figure 3 A schematic diagram of an optimal directionality measurement device based on direction finding accuracy according to an embodiment of the present application;

[0040] Figure 4 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Figure 1An optimal direction finding accuracy measurement method based on direction finding accuracy provided by an embodiment of the present application is shown, comprising the following steps:

[0043] S1, construct a azimuth statistic table, in which the azimuth statistic table records the statistical times corresponding to each signal azimuth, and the statistical times are initially 0.

[0044] Specifically, the signal bearing in the bearing statistics table ranges from 0 to 359.9 degrees, and points are taken at intervals of 0.1 degrees, and the initial value of the number of statistics is set to 0.

[0045] S2: In response to determining that an instruction to start single-frequency direction finding is received, obtaining an integration time from the instruction to start single-frequency direction finding.

[0046] Specifically, after receiving the single-frequency direction finding start instruction from the host computer, the integration time is obtained from the single-frequency direction finding start instruction, and the spectrum monitoring and direction finding device is controlled to perform the single-frequency direction finding function.

[0047] S3, performing single-frequency direction finding on the direction finding device and obtaining single-frequency direction finding result data, and obtaining the signal directionality to be counted from the single-frequency direction finding result data.

[0048] Specifically, the timing starts from the moment when the single-frequency direction finding result data of the spectrum monitoring and direction finding equipment is received. The timing here can be forward timing from 0, or countdown from the integration time. The real-time signal direction-indicating degree is obtained from the single-frequency direction finding result data, and the real-time signal direction-indicating degree is also the signal direction-indicating degree to be counted.

[0049] S4, accumulating the statistical times corresponding to the signal directivity to be counted in the directivity statistical table and updating the directivity statistical table to obtain an updated directivity statistical table.

[0050] Specifically, the statistical times of the signal directionality to be counted are accumulated in the directionality statistical table, and the updated directionality statistical table is obtained.

[0051] S5, start timing from the time when the single-frequency direction finding instruction is obtained and the first single-frequency direction finding result data is received. If the timing time has not reached the integration time, repeat steps S3-S4 until the timing time reaches the integration time, and obtain the last updated direction finding statistical table.

[0052] In a specific embodiment, it also includes:

[0053] If the timing time does not reach the integration time, the direction of the signal to be counted will be sent to the host computer in real time and displayed;

[0054] If the timing time reaches the integration time, the optimal orientation will be sent to the host computer and displayed.

[0055] Specifically, it is determined whether the timing time reaches the integration time. If the timing time does not reach the integration time, the signal direction-of-view to be counted is sent to the host computer in real time and displayed, and steps S3-S4 are repeated to obtain the next single-frequency direction-finding result data again, and the next signal direction-of-view to be counted is obtained from it, and the next signal direction-of-view to be counted is counted in the direction-of-view statistics table updated this time to obtain the direction-of-view statistics table updated next time. If the timing time reaches the integration time, the direction-of-view statistics table updated last time is obtained, and the optimal direction-of-view is calculated in combination with the direction-finding accuracy.

[0056] S6, obtain the direction finding accuracy, find the signal direction finding corresponding to the maximum statistical number in the direction finding statistical table after the last update, determine the statistical angle range according to the signal direction finding corresponding to the maximum statistical number and the direction finding accuracy, perform weighted calculation on each signal direction finding and its statistical number in the direction finding statistical table after the last update that are within the statistical angle range, obtain the optimal direction finding corresponding to the current integration time, and clear the statistical number and timing in the direction finding statistical table after the last update.

[0057] In a specific embodiment, the statistical angle range is (ab / 2, a+b / 2), where a represents the signal bearing corresponding to the maximum statistical number in the bearing statistical table after the last update, and b represents the direction finding accuracy.

[0058] In a specific embodiment, the calculation formula of the optimal orientation is:

[0059]

[0060] Where i represents the direction of each signal within the statistical angle range, c i represents the statistical number of times each signal directionality is within the statistical angle range, and θ represents the optimal directionality.

[0061] Specifically, under normal circumstances, the direction finding accuracy requirements of spectrum monitoring and direction finding equipment are as follows:

[0062] 30MHz-3000 MHz: b<=1.5 degrees;

[0063] 3000MHz-26.5GHz: b<=5 degrees.

[0064] Now take the spectrum monitoring direction finding equipment with a direction finding accuracy of 5 degrees and an integration time of 5s as an example.

[0065] The timing starts when the first single-frequency direction finding result is received, and the signal direction-of-view to be counted is obtained from the single-frequency direction finding result and counted in the direction-of-view statistical table. The signal direction-of-view to be counted obtained once is 262.6 degrees. First, the statistical number corresponding to the signal direction-of-view of 262.6 degrees in the last updated direction-of-view statistical table is increased by 1, and the last updated direction-of-view statistical table is updated to obtain the updated direction-of-view statistical table.

[0066] If the timing time does not reach the integration time, the real-time signal direction finding angle is output as 262.6 degrees and sent to the host computer, waiting for the next single-frequency direction finding result.

[0067] If the timing time reaches the integration time, the signal directionality corresponding to the maximum statistical number is found to be 263.8 degrees in the directionality statistical table after the last update, and the maximum statistical number is 6 times. The directionality statistical table after the last update is shown in Table 1.

[0068] Table 1

[0069] Signal direction (unit: degree) Statistical times 0 0 0.1 0 0.2 0 0.3 0 … … 261.5 1 261.6 0 … … 263.8 6 263.9 4 264.0 5 264.1 2 … … 266.4 1 266.5 0 … … 359.7 0 359.8 1 359.9 0

[0070] Calculate the weighted average of all statistical times within 2.5 degrees before and after 263.8 degrees (i.e., 261.3 degrees to 266.3 degrees). First, calculate the sum C of the statistical times of all signal directionality from 261.3 to 266.3 in the directionality statistical table after the last update, and the sum T obtained by multiplying each signal directionality from 261.3 to 266.3 in the directionality statistical table after the last update by the statistical times corresponding to the signal directionality. Finally, the calculated weighted average is T / C, which is the optimal directionality for single-frequency direction finding during this integration time. The signal directionality of the single-frequency direction finding embodiment is output as 262.6 degrees, and the optimal directionality is 264 degrees, and is sent to the host computer. The result is as follows. Figure 2 Resetting the timing and the last updated azimuth statistics table at the same time means clearing the timing to zero and setting all the statistics in the last updated azimuth statistics table to 0.

[0071] In the embodiment of the present application, if the timing is forward counting from 0, then the time when the timing reaches the integral time is equivalent to the time when the timing is equal to the integral time; if the timing is countdown from the integral time, then the time when the timing reaches the integral time is equivalent to the time when the timing is equal to 0. The timing method can be a timer or other means.

[0072] Direction finding accuracy is one of the important indicators for measuring the direction finding quality level of spectrum monitoring and direction finding equipment. The embodiments of the present application take direction finding accuracy as a benchmark, and the statistically calculated optimal direction indication is more in line with the requirements of the equipment in actual application scenarios.

[0073] In a specific embodiment, it also includes:

[0074] S7, repeat steps S3-S6 to obtain the optimal orientation corresponding to each integration time.

[0075] Specifically, steps S3-S6 are repeated after waiting for the next integration time to start, so that an optimal orientation can be obtained at each integration time interval and updated and displayed on the host computer.

[0076] In a specific embodiment, it also includes:

[0077] In response to determining that the single-frequency direction finding stop instruction is received, the single-frequency direction finding is stopped on the direction finding device, and steps S2 to S7 are repeated.

[0078] Specifically, when receiving the stop single-frequency direction finding instruction sent by the host computer, the spectrum monitoring and direction finding device is controlled to stop executing the single-frequency direction finding, and wait for the next receipt of the start single-frequency direction finding instruction, and then repeat steps S2-S7.

[0079] In a variety of different actual application sites, the direction finding test was verified through multiple times at different frequencies, among which the optimal direction finding angle more accurately reflects the target angle of the actual transmitting source.

[0080] Further references Figure 3 As an implementation of the methods shown in the above figures, the present application provides an embodiment of an optimal directionality measurement device based on direction finding accuracy. Figure 1 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0081] The embodiment of the present application provides an optimal direction indication measurement device based on direction finding accuracy, comprising:

[0082] The statistical table construction module 1 is configured to construct a azimuth statistical table, in which the azimuth statistical table records the statistical times corresponding to each signal azimuth, and the statistical times are initially 0;

[0083] The starting direction finding module 2 is configured to, in response to determining that a starting single-frequency direction finding instruction is received, obtain an integration time from the starting single-frequency direction finding instruction;

[0084] The data acquisition module 3 is configured to perform single-frequency direction finding on the direction finding device and obtain single-frequency direction finding result data, and obtain the signal direction indication to be counted from the single-frequency direction finding result data;

[0085] The statistical module 4 is configured to accumulate the statistical times corresponding to the signal directivity to be counted in the directivity statistical table and update the directivity statistical table to obtain an updated directivity statistical table;

[0086] A repetitive module 5 is configured to start timing from the time when the single-frequency direction finding instruction is received and the first single-frequency direction finding result data is received, and repeatedly execute the data acquisition module and the statistical module until the timing time reaches the integration time, and obtain the last updated direction indication statistical table;

[0087] The optimal bearing calculation module 6 is configured to obtain the direction finding accuracy, find the signal bearing corresponding to the maximum statistical number in the bearing statistical table after the last update, determine the statistical angle range according to the signal bearing corresponding to the maximum statistical number and the direction finding accuracy, perform weighted calculation on each signal bearing and its statistical number within the statistical angle range in the bearing statistical table after the last update, obtain the optimal bearing corresponding to the current integration time, and clear the statistical number and timing in the bearing statistical table after the last update.

[0088] Figure 4 Schematic diagram of the hardware structure of the electronic device provided by the embodiment of the present invention. Figure 4 As shown, the electronic device of this embodiment includes: a processor 401 and a memory 402; wherein the memory 402 is used to store computer-executable instructions; the processor 401 is used to execute the computer-executable instructions stored in the memory to implement the various steps performed by the electronic device in the above embodiment. For details, please refer to the relevant description in the above method embodiment.

[0089] Optionally, the memory 402 may be independent or integrated with the processor 401 .

[0090] When the memory 402 is independently provided, the electronic device further includes a bus 403 for connecting the memory 402 and the processor 401 .

[0091] The embodiment of the present invention further provides a computer storage medium, in which computer execution instructions are stored. When the processor 401 executes the computer execution instructions, the above method is implemented.

[0092] The embodiment of the present invention further provides a computer program product, including a computer program. When the computer program is executed by the processor 401, the above method is implemented.

[0093] In the embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation, such as multiple modules can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or modules, which can be electrical, mechanical or other forms.

[0094] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to implement the solution of this embodiment.

[0095] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, or each module may exist physically separately, or two or more modules may be integrated into one unit. The above-mentioned module-composed unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0096] The above-mentioned integrated module implemented in the form of a software function module can be stored in a computer-readable storage medium. The above-mentioned software function module is stored in a storage medium, including a number of instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor 401 to perform some steps of the methods of various embodiments of the present application.

[0097] It should be understood that the processor 401 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), etc. A general-purpose processor may be a microprocessor or the processor 401 may be any conventional processor 401, etc. The steps of the method disclosed in the invention may be directly embodied in the hardware processor 401 for execution, or may be executed by a combination of hardware and software modules in the processor 401.

[0098] The memory 402 may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk memory, and may also be a USB flash drive, a mobile hard disk, a read-only memory, a magnetic disk, or an optical disk.

[0099] The bus 403 may be an Industry Standard Architecture (ISA), a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus 403 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, the bus 403 in the drawings of the present application is not limited to only one bus 403 or one type of bus 403.

[0100] The above storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic disk or optical disk. The storage medium can be any available medium that can be accessed by a general or special purpose computer.

[0101] An exemplary storage medium is coupled to the processor 401, so that the processor 401 can read information from the storage medium and write information to the storage medium. Of course, the storage medium can also be a component of the processor 401. The processor 401 and the storage medium can be located in an application specific integrated circuit (ASIC). Of course, the processor 401 and the storage medium can also exist as discrete components in an electronic device or a main control device.

[0102] Those skilled in the art can understand that all or part of the steps of implementing the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned storage medium includes: ROM, RAM, disk or optical disk and other media that can store program codes.

[0103] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An optimal directionality measurement method based on direction finding accuracy, characterized in that: The following steps are involved: S1, constructing a azimuth statistic table, wherein the azimuth statistic table records the statistical number of times corresponding to each signal azimuth, and the statistical number is initially 0; S2, in response to determining that an instruction to start single-frequency direction finding is received, acquiring an integration time from the instruction to start single-frequency direction finding; S3, performing single-frequency direction finding on the direction finding device and obtaining single-frequency direction finding result data, and obtaining the signal directionality to be counted from the single-frequency direction finding result data; S4, accumulating the statistical times corresponding to the signal directionality to be counted in the directionality statistical table and updating the directionality statistical table to obtain an updated directionality statistical table; S5, starting timing from the time when the single-frequency direction finding instruction is obtained and the first single-frequency direction finding result data is received, and if the timing time does not reach the integration time, repeating steps S3-S4 until the timing time reaches the integration time, and obtaining the last updated direction indication statistics table; S6, obtain the direction finding accuracy, find the signal direction finding corresponding to the maximum statistical number in the direction finding statistical table after the last update, determine the statistical angle range according to the signal direction finding corresponding to the maximum statistical number and the direction finding accuracy, perform weighted calculation on each signal direction finding and its statistical number in the direction finding statistical table after the last update that are within the statistical angle range, obtain the optimal direction finding corresponding to the current integration time, and clear the statistical number and timing in the direction finding statistical table after the last update.

2. The optimal directionality measurement method based on direction finding accuracy according to claim 1, characterized in that: The statistical angle range is (ab / 2, a+b / 2), wherein a represents the signal direction finding corresponding to the maximum statistical number in the direction finding statistical table after the last update, and b represents the direction finding accuracy.

3. The optimal directionality measurement method based on direction finding accuracy according to claim 2, characterized in that: The calculation formula of the optimal orientation is: Where i represents the direction of each signal within the statistical angle range, c i represents the statistical number of times each signal directionality is within the statistical angle range, and θ represents the optimal directionality.

4. The optimal directionality measurement method based on direction finding accuracy according to claim 1, characterized in that: Also includes: S7, repeat steps S3-S6 to obtain the optimal orientation corresponding to each integration time.

5. The optimal directionality measurement method based on direction finding accuracy according to claim 1, characterized in that: Also includes: In response to determining that the single-frequency direction finding stop instruction is received, the single-frequency direction finding is stopped on the direction finding device, and steps S2 to S7 are repeated.

6. The optimal directionality measurement method based on direction finding accuracy according to claim 1, characterized in that: Also includes: If the timing time does not reach the integration time, the signal direction to be counted is sent to the host computer in real time and displayed; If the timed time reaches the integration time, the optimal orientation is sent to the host computer and displayed.

7. An optimal direction-indicating measurement device based on direction-finding accuracy, characterized in that: include: A statistical table construction module is configured to construct a azimuth statistical table, wherein the azimuth statistical table records the statistical number corresponding to each signal azimuth, and the statistical number is initially 0; The starting direction finding module is configured to, in response to determining that a starting single-frequency direction finding instruction is received, obtain an integration time from the starting single-frequency direction finding instruction; A data acquisition module is configured to perform single-frequency direction finding on the direction finding device and obtain single-frequency direction finding result data, and obtain the signal direction indication to be counted from the single-frequency direction finding result data; A statistical module is configured to accumulate the statistical times corresponding to the signal directionality to be counted in the directionality statistical table and update the directionality statistical table to obtain an updated directionality statistical table; a repetition module configured to start timing from the time when the single-frequency direction finding instruction is obtained and the first single-frequency direction finding result data is received, and if the timing time does not reach the integration time, the data acquisition module and the statistical module are repeatedly executed until the timing time reaches the integration time, so as to obtain the last updated direction indication statistical table; The optimal direction-indicating calculation module is configured to obtain the direction-finding accuracy, find the signal direction-indicating corresponding to the maximum statistical number in the direction-indicating statistical table after the last update, determine the statistical angle range according to the signal direction-indicating corresponding to the maximum statistical number and the direction-finding accuracy, perform weighted calculation on each signal direction-indicating and its statistical number within the statistical angle range in the direction-indicating statistical table after the last update, obtain the optimal direction-indicating corresponding to the current integration time, and clear the statistical number and timing in the direction-indicating statistical table after the last update.

8. An electronic device, comprising: one or more processors; a storage device for storing one or more programs, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

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

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

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