Data processing method and device for image transmission of unmanned aerial vehicle

Abstract

The invention discloses a data processing method and device for image transmission of an unmanned aerial vehicle. The method comprises the steps that in the FPV unmanned aerial vehicle image transmission process, to-be-processed signal detection data are acquired, and the to-be-processed signal detection data are data used for representing detection of unmanned aerial vehicle simulation image transmission signals; performing signal screening processing based on time-frequency conversion on the to-be-processed signal detection data to obtain unmanned aerial vehicle image transmission signal data; and performing signal processing based on video signal recovery on the unmanned aerial vehicle image transmission signal data to obtain image transmission video data. The FPV unmanned aerial vehicle simulation image transmission is digitally analyzed through the software defined radio method, the problem that in the prior art, it is difficult for a special IC chip to support multiple frequency bands and multiple systems in the digital analysis process is solved, and digital analysis of image transmission of multiple types of unmanned aerial vehicles is achieved.

Description

Technical Field

[0001] The present application relates to the field of UAV communication. Specifically, it relates to a data processing method and device for UAV video transmission. Background Art

[0002] An FPV drone (First-Person View Drone) is a drone that is remotely controlled in real time from a first-person perspective. The pilot can see the real-time video transmitted by the drone's camera through a head-mounted display or a screen, obtaining an immersive flight experience. It is mainly used in scenarios such as racing, aerial photography, and aerobatic flight. Analog video transmission is the most traditional wireless video transmission technology for FPV drones, which sends the camera footage to the pilot's glasses or screen in real time through an analog signal.

[0003] Currently, the FPV video transmission modules used in drones basically adopt proprietary protocols, standard protocols such as PAL and NTSC, or variants of these standard protocols, and the frequency bands range from several hundred MHz to several GHz. Using dedicated IC chips, it is difficult to cover non-standard formats and it is also difficult to cover the entire frequency band.

[0004] Therefore, in the prior art, there are problems in that it is difficult for UAV video transmission to support multi-band and multiple formats in the digital analysis process. Summary of the Invention

[0005] The main objective of the present application is to provide a data processing method and device for UAV video transmission, so as to solve the problem that it is difficult for dedicated IC chips in the prior art to support multi-band and multiple formats in the digital analysis process, and to achieve digital analysis of various types of UAV video transmission.

[0006] To achieve the above objective, in the first aspect of the present application, a data processing method for UAV video transmission is proposed, which is applied to an FPV drone to achieve digital analysis of the analog video transmission of the FPV drone, including: Obtain signal detection data to be processed, where the signal detection data to be processed is data used to represent the detection of the analog video transmission signal of the drone; Perform signal screening processing based on time-frequency conversion on the signal detection data to be processed to obtain UAV video transmission signal data; Perform signal processing based on video signal restoration on the UAV video transmission signal data to obtain video transmission video data.

[0007] Further, performing signal processing based on video signal restoration on the UAV video transmission signal data to obtain video transmission video data includes: Perform demodulation processing based on modulation characteristics on the UAV video transmission signal data to obtain process composite video signal data; Perform signal decoding processing on the processed composite video signal data to obtain the video image pixel data to be processed; Perform image signal restoration processing on the video image pixel data to be processed to obtain the video data transmitted by the image transmitter.

[0008] Further, the demodulation processing based on the modulation characteristics of the UAV image transmission signal data to obtain the processed composite video signal data includes: Perform identification processing based on the signal characteristics of the UAV image transmission signal data to obtain signal characteristic data; Perform modulation characteristic extraction processing on the signal characteristic data to obtain signal modulation characteristic data, where the signal modulation characteristic data is the characteristic data used to represent the modulation method of the UAV image transmission signal; Perform inverse demodulation processing on the UAV image transmission signal data based on the signal modulation characteristic data to obtain the processed composite video signal data.

[0009] Further, the signal decoding processing on the processed composite video signal data to obtain the video image pixel data to be processed includes: Perform synchronous signal extraction processing on the processed composite video signal data to obtain synchronous signal data; Perform signal format judgment processing on the synchronous signal data to obtain signal format characteristic data; Determine the video image pixel data to be processed according to the synchronous signal data and the signal format characteristic data.

[0010] Further, the image signal restoration processing on the video image pixel data to be processed to obtain the video data transmitted by the image transmitter includes: Perform color burst signal extraction processing based on channel estimation on the video image pixel data to be processed to obtain color burst signal data; Perform chrominance demodulation processing based on the phase change characteristics on the color burst signal data to obtain chrominance demodulation data; Perform color difference signal extraction processing on the video image pixel data to be processed to obtain the processed color difference signal data; Perform calibration processing on the processed color difference signal data to obtain calibrated color difference signal data; Perform image restoration processing on the chrominance demodulation data and the standard color difference signal data to obtain the video data transmitted by the image transmitter.

[0011] Further, the signal screening processing based on time-frequency conversion on the signal detection data to be processed to obtain the UAV image transmission signal data includes: Perform frequency domain feature extraction processing based on time-frequency conversion on the signal detection data to be processed to obtain the frequency domain feature data to be processed; Perform signal screening processing on the to-be-processed frequency-domain feature data based on a preset frequency-domain feature threshold to obtain target frequency-domain feature data, where the target frequency-domain feature data is the to-be-processed frequency-domain feature data used to represent the data that meets the preset frequency-domain feature threshold; Perform resampling processing on the signal corresponding to the target frequency-domain feature data to obtain the UAV video transmission signal data.

[0012] According to the second aspect of the present application, a data processing device for UAV video transmission is proposed, which is applied to an FPV UAV to implement digital analysis of FPV UAV simulated video transmission, including: A signal detection module for obtaining to-be-processed signal detection data, where the to-be-processed signal detection data is the data used to represent the detected UAV simulated video transmission signal; A signal screening module for performing signal screening processing on the to-be-processed signal detection data based on time-frequency conversion to obtain UAV video transmission signal data; A video signal restoration module for performing signal processing on the UAV video transmission signal data based on video signal restoration to obtain transmitted video data.

[0013] Further, the video signal restoration module includes: A signal demodulation module for performing demodulation processing on the UAV video transmission signal data based on modulation characteristics to obtain process composite video signal data; A signal decoding module for performing signal decoding processing on the process composite video signal data to obtain to-be-processed video image pixel data; An image signal restoration module for performing image signal restoration processing on the to-be-processed video image pixel data to obtain the transmitted video data.

[0014] According to the third aspect of the present application, a computer-readable storage medium is proposed. The computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the above-mentioned data processing method for UAV video transmission.

[0015] According to the fourth aspect of the present application, an electronic device is proposed, including: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to cause the at least one processor to execute the above-mentioned data processing method for UAV video transmission.

[0016] The technical solutions provided by the embodiments of the present application may include the following beneficial effects: In this application, during the FPV drone video transmission process, detection data of a signal to be processed is obtained, where the detection data of the signal to be processed is data used to represent the detected analog video transmission signal of the drone; the detection data of the signal to be processed is subjected to signal screening processing based on time-frequency conversion to obtain drone video transmission signal data; the drone video transmission signal data is subjected to signal processing based on video signal restoration to obtain video transmission video data. Through the above method of software-defined radio, the digital analysis of the FPV drone analog video transmission is realized, solving the problem in the prior art that it is difficult for a dedicated IC chip to support multi-band and multiple systems in the digital analysis process, and realizing the digital analysis of multi-type drone video transmission. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings that form a part of this application are used to provide a further understanding of this application, making other features, objectives, and advantages of this application more obvious. The schematic embodiments and their descriptions of this application are used to explain this application and do not constitute an improper limitation of this application. In the drawings: Figure 1 It is a flowchart of a data processing method for drone video transmission provided by this application; Figure 2 It is a flowchart of a data processing method for drone video transmission provided by this application; Figure 3 It is a flowchart of a data processing method for drone video transmission provided by this application; Figure 4 It is a schematic diagram of a data processing device for drone video transmission provided by this application; Figure 5 It is a schematic diagram of a data processing device for drone video transmission provided by this application; Figure 6 It is a schematic diagram of an electronic device provided by this application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] In order to enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0019] It should be noted that the terms "first", "second", etc. in the description, claims and the above-mentioned drawings of the present application are used to distinguish similar objects, and do not necessarily need to be used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so as to implement the embodiments of the present application described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0020] In the present application, the orientation or positional relationship indicated by the terms "upper", "lower", "left", "right", "front", "rear", "top", "bottom", "inner", "outer", "middle", "vertical", "horizontal", "lateral", "longitudinal", etc. is based on the orientation or positional relationship shown in the drawings. These terms are mainly used to better describe the present application and its embodiments, and are not used to limit that the indicated devices, elements or components must have a specific orientation, or be constructed and operated in a specific orientation.

[0021] Moreover, in addition to being able to represent an orientation or positional relationship, some of the above-mentioned terms may also be used to represent other meanings. For example, the term "upper" may also be used to represent a certain attachment relationship or connection relationship in some cases. For those of ordinary skill in the art, the specific meanings of these terms in the present application can be understood according to specific circumstances.

[0022] In addition, the terms "mounted", "set", "provided with", "connected", "coupled", "socketed" should be understood in a broad sense. For example, "connected" can be a fixed connection, a detachable connection, or an integral structure; it can be a mechanical connection or an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, or there can also be internal communication between two devices, elements or components. For those of ordinary skill in the art, the specific meanings of the above-mentioned terms in the present application can be understood according to specific circumstances.

[0023] In the prior art, the FPV video transmission module adopted by current drones basically uses private protocols, PAL, NTSC standard protocols or variants of these standard protocols, and the frequency bands range from several hundred M to several G. Using a dedicated IC chip, it is difficult to cover non-standard systems and it is also difficult to cover the entire frequency band. Aiming at the problem that it is difficult for a dedicated IC chip in the prior art to support multi-band and multiple systems in the digital analysis process, the present application proposes a data processing method for drone video transmission, which processes the signal analysis of drone video transmission through SDR to achieve digital analysis of FPV signals in multiple frequency bands, multiple standards and non-standard systems.

[0024] In some alternative embodiments of the present application, a data processing method for UAV video transmission is proposed, which is applied to FPV UAV simulated video transmission to achieve digital analysis of FPV UAV simulated video transmission. By using an AD / DA chip and a chip with a mixer, such as a chip with a mixer covering 70M - 8G, the full-band spectrum is detected. Detecting the full-band spectrum includes setting the frequency of the collected time-domain signal to be greater than 27M and the bandwidth to be greater than 12M to achieve fast scanning of the full-band spectrum.

[0025] In some alternative embodiments of the present application, a data processing method for UAV video transmission is proposed, which is applied to FPV UAVs to achieve digital analysis of FPV UAV simulated video transmission. Figure 1 The flowchart of a data processing method for UAV video transmission provided by the present application is as Figure 1 shown, and the method includes the following steps: S101: Obtain the detection data of the signal to be processed; The detection data of the signal to be processed is data used to represent the detection of the UAV simulated video transmission signal; the detection data of the signal to be processed is the signal detection data obtained by scanning the full-band spectrum as described above. The detection data of the signal to be processed includes data for detecting the UAV simulated video transmission signal. By performing signal screening processing on the detection data of the signal to be processed, the UAV video transmission signal data is obtained.

[0026] S102: Perform signal screening processing based on time-frequency conversion on the detection data of the signal to be processed to obtain the UAV video transmission signal data; In some alternative embodiments of the present application, a data processing method for UAV video transmission is proposed. Figure 2 The flowchart of a data processing method for UAV video transmission provided by the present application is as Figure 2 shown, and the method includes the following steps: S201: Perform frequency-domain feature extraction processing based on time-frequency conversion on the detection data of the signal to be processed to obtain the frequency-domain feature data to be processed; S202: Perform signal screening processing based on a preset frequency-domain feature threshold on the frequency-domain feature data to be processed to obtain the target frequency-domain feature data; The target frequency-domain feature data is frequency-domain feature data to be processed that satisfies the preset frequency-domain feature threshold; S203: Perform resampling processing on the signal corresponding to the target frequency-domain feature data to obtain the UAV video transmission signal data.

[0027] In an alternative embodiment of the present application, a bandwidth-based determination is performed on the frequency-domain signal after the above time-frequency conversion. For example, a frequency-domain signal with a bandwidth of about 6M is determined to be an FPV drone signal; the signal determined to be an FPV drone is resampled, changing the above sampling rate of 27M to 12M, and the signal determined to be an FPV drone is resampled according to the changed sampling rate to obtain the data of the drone video transmission signal.

[0028] S103: Perform signal processing based on video signal restoration on the drone video transmission signal data to obtain the video transmission video data.

[0029] In some alternative embodiments of the present application, a data processing method for drone video transmission is proposed. Figure 3 As shown in the flowchart of a data processing method for drone video transmission provided by the present application, Figure 3 as shown, the method includes the following processes: S301: Perform demodulation processing based on modulation characteristics on the drone video transmission signal data to obtain the process composite video signal data; In some alternative embodiments of the present application, a data processing method for drone video transmission is proposed, including: Perform identification processing based on signal characteristics on the drone video transmission signal data to obtain signal characteristic data; perform modulation characteristic extraction processing on the signal characteristic data to obtain signal modulation characteristic data, where the signal modulation characteristic data is characteristic data used to represent the modulation method of the drone video transmission signal; perform inverse demodulation processing based on the signal modulation characteristic data on the drone video transmission signal data to obtain the process composite video signal data.

[0030] Perform identification processing based on the first signal characteristic on the drone video transmission signal data to obtain the first signal characteristic data; perform identification processing based on the second signal characteristic on the drone video transmission signal data to obtain the second signal characteristic data; perform identification processing based on the third signal characteristic on the drone video transmission signal data to obtain the third signal characteristic data; the first signal characteristic data, the second signal characteristic data, and the third signal characteristic data are respectively the amplitude characteristic data, the frequency characteristic data, and the phase characteristic data of the drone video transmission signal; Determine the signal modulation characteristics of the above first signal characteristic data, second signal characteristic data, and third signal characteristic data to determine the signal modulation method of the UAV video transmission signal; perform inverse demodulation on the UAV video transmission signal according to the determined signal modulation method. Analyze the frequency characteristic data, amplitude characteristic data, and phase characteristic data of the UAV video transmission signal, and analyze the modulation methods corresponding to the changes in the above frequency characteristic data, amplitude characteristic data, and phase characteristic data. For example, in the FM modulation method: the signal amplitude remains unchanged, and the frequency changes with the signal; in the AM modulation method: the signal amplitude changes, and the carrier frequency is fixed; in the PM modulation method: the signal phase jumps. The method for determining the signal modulation method according to the above frequency characteristic data, amplitude characteristic data, and phase characteristic data can be: analyze the above frequency characteristic data, amplitude characteristic data, and phase characteristic data through a machine learning algorithm to obtain signal modulation characteristic data; analyze the UAV video transmission signal through peak kurtosis calculation to obtain signal modulation characteristic data.

[0031] S302: Perform signal decoding processing on the process composite video signal data to obtain the video image pixel data to be processed; In some optional embodiments of the present application, a data processing method for UAV video transmission is proposed to implement video signal decoding processing on the decoded UAV video transmission signal. The method includes: Extract the synchronization signal processing from the process composite video signal data to obtain the synchronization signal data; perform signal format judgment processing on the synchronization signal data to obtain the signal format characteristic data; determine the video image pixel data to be processed according to the synchronization signal data and the signal format characteristic data.

[0032] In an optional embodiment of the present application, after performing the above SDR decoding processing on the UAV video transmission signal data, a composite video broadcast signal (Composite Video Broadcast Signal, hereinafter referred to as CVBS signal) is obtained, and the CVBS signal is decoded. Based on SDR, extract the synchronization signal processing from the above CVBS signal. For example, SDR determines that the signal amplitude is higher than the threshold of 0.5 normalized to 1 as high and lower than 0.5 as low, and obtains the number of frame synchronization and line synchronization; according to the data obtained by the above synchronization signal extraction, judge the signal format data, and judge the format as PAL, NTSC, or other non-standard formats according to the frame synchronization interval and the number; decode the above CVBS signal according to the above synchronization signal data and the signal format characteristic data to obtain the video image pixel data to be processed.

[0033] S303: Perform image signal restoration processing on the video image pixel data to be processed to obtain the video transmission video data.

[0034] In some alternative embodiments of the present application, a data processing method for UAV video transmission is proposed to achieve image signal restoration. The method includes: Perform color sync signal extraction processing based on channel estimation on the video image pixel data to be processed to obtain color sync signal data; perform chrominance demodulation processing based on phase change characteristics on the color sync signal data to obtain chrominance demodulation data; perform color difference signal extraction processing on the video image pixel data to be processed to obtain process color difference signal data; perform calibration processing on the process color difference signal data to obtain calibrated color difference signal data; perform image restoration processing on the chrominance demodulation data and the standard color difference signal data to obtain video transmission video data.

[0035] Performing chrominance demodulation processing based on phase change characteristics on the color sync signal data to obtain chrominance demodulation data includes: performing extraction processing based on phase change characteristics on the color sync signal data to obtain chrominance phase change characteristics; determining demodulation parameters according to the chrominance phase change characteristics; analyzing the color sync phase change row by row and dynamically selecting demodulation parameters to achieve chrominance demodulation processing of the above signals. Channel estimation is required. Noise is removed through time-frequency domain channel estimation, and then the time domain is restored to obtain the color sync signal; the phase change of each row is analyzed to obtain chrominance demodulation parameters, and chrominance demodulation is achieved according to the chrominance demodulation parameters.

[0036] In another alternative embodiment of the present application, by performing color difference signal extraction processing on the above video image pixel data to be processed, a color difference signal is obtained, and the color difference is phase-calibrated according to the amplitude colors of the front shoulder and the rear shoulder of the color difference signal to obtain calibrated color difference signal data; after completing the above chrominance demodulation and color difference calibration processing, the RGB image is restored according to information such as YUV / YIQ to obtain video transmission video data, realizing the analysis of the UAV video transmission signal.

[0037] In some alternative embodiments of the present application, a data processing device for UAV video transmission is proposed, which is applied to FPV UAVs to achieve digital analysis of FPV UAV analog video transmission. Figure 4 A schematic diagram of a data processing device for UAV video transmission provided by the present application is shown in Figure 4 As shown, the device includes: A signal detection module 41 for obtaining signal detection data to be processed, where the signal detection data to be processed is data for representing the detected UAV analog video transmission signal; A signal screening module 42 for performing signal screening processing based on time-frequency conversion on the signal detection data to be processed to obtain UAV video transmission signal data; A video signal restoration module 43 for performing signal processing based on video signal restoration on the UAV video transmission signal data to obtain video transmission video data.

[0038] In some alternative embodiments of the present application, a data processing device for UAV video transmission is proposed. Figure 5 As shown in the schematic diagram of another data processing device for UAV video transmission provided by the present application, Figure 5 as shown, the device includes: A signal demodulation module 51, configured to perform demodulation processing on the UAV video transmission signal data based on modulation characteristics to obtain process composite video signal data; A signal decoding module 52, configured to perform signal decoding processing on the process composite video signal data to obtain video image pixel data to be processed; An image signal restoration module 53, configured to perform image signal restoration processing on the video image pixel data to be processed to obtain the transmitted video data.

[0039] The specific manners of the operations performed by each unit in the above embodiments have been described in detail in the embodiments related to the method, and will not be elaborated herein.

[0040] The embodiments of the present application also provide an electronic device, as Figure 6 shown, the electronic device includes one or more processors 61 and a memory 62, Figure 6 Taking one processor 61 as an example.

[0041] The controller may further include: an input device 63 and an output device 64.

[0042] The processor 61, the memory 62, the input device 63, and the output device 64 may be connected through a bus or other means, Figure 6 Taking connection through a bus as an example.

[0043] The processor 61 may be a central processing unit (Central Processing Unit, abbreviated as CPU), and the processor 61 may also be other general-purpose processors, digital signal processors (Digital Signal Processor, abbreviated as DSP), application specific integrated circuits (Application Specific Integrated Circuit, abbreviated as ASIC), field programmable gate arrays (Field-Programmable Gate Array, abbreviated as FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. chips, or a combination of the above types of chips. The general-purpose processor may be a microprocessor or any conventional processor.

[0044] The memory 62, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the control method in the embodiments of the present disclosure. By running the non-transitory software programs, instructions, and modules stored in the memory 62, the processor 61 executes various functional applications and data processing of the server, that is, realizes the data processing for UAV video transmission in the above method embodiments.

[0045] The memory 62 may include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the processing device of the server operation, etc. In addition, the memory 62 may include high-speed random access memory, and may also include non-transitory memory, such as at least one magnetic disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some embodiments, the memory 62 may optionally include a memory remotely provided with respect to the processor 61, and these remote memories can be connected to the network connection device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0046] The input device 63 can receive input digital or character information, and generate key signal inputs related to user settings and function controls of the processing device of the server. The output device 64 may include a display device such as a display screen.

[0047] One or more modules are stored in the memory 62 and, when executed by one or more processors 61, execute as Figure 1 shown in the method.

[0048] Those skilled in the art can understand that to implement all or part of the processes in the above method embodiments, it can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes in the above method embodiments. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory (FM), a hard disk drive (HDD), or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above types of memories.

[0049] In summary, during the FPV drone video transmission process, detection data of the signal to be processed is obtained, where the detection data of the signal to be processed is data used to represent the detected analog video transmission signal of the drone; the detection data of the signal to be processed is subjected to signal screening processing based on time-frequency conversion to obtain drone video transmission signal data; the drone video transmission signal data is subjected to signal processing based on video signal restoration to obtain video transmission data. Through the above method of software-defined radio, the digital analysis of the FPV drone analog video transmission is carried out, solving the problem in the prior art that it is difficult for dedicated IC chips to support multi-bands and multiple systems in the digital analysis process, and realizing the digital analysis of multi-type drone video transmissions.

[0050] It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0051] Obviously, those skilled in the art should understand that the above units or steps of the present application can be implemented by a general-purpose computing device. They can be concentrated on a single computing device or distributed on a network composed of multiple computing devices. Optionally, they can be implemented by program codes executable by the computing device, so that they can be stored in a storage device and executed by the computing device, or they can be separately fabricated into individual integrated circuit modules, or multiple modules or steps among them can be fabricated into a single integrated circuit module to be implemented. In this way, the present application is not limited to any specific combination of hardware and software.

[0052] The above are only the preferred embodiments of the present application and are not used to limit the present application. For those skilled in the art, the present application can have various changes and modifications. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A data processing method for drone video transmission, characterized in that Applied to an FPV drone to achieve digital analysis of the FPV drone's analog video transmission, including: Obtain signal detection data to be processed, where the signal detection data to be processed is data used to represent the detection of the FPV drone's analog video transmission signal; Perform signal screening processing based on time-frequency conversion on the signal detection data to be processed to obtain drone video transmission signal data; Perform signal processing based on video signal restoration on the drone video transmission signal data to obtain video transmission video data, including: Perform demodulation processing based on modulation characteristics on the drone video transmission signal data to obtain process composite video signal data; Perform signal decoding processing on the process composite video signal data to obtain video image pixel data to be processed; Perform image signal restoration processing on the video image pixel data to be processed to obtain the video transmission video data.

2. The data processing method according to claim 1, wherein Performing demodulation processing based on modulation characteristics on the drone video transmission signal data to obtain process composite video signal data includes: Perform identification processing based on signal characteristics on the drone video transmission signal data to obtain signal characteristic data; Perform modulation characteristic extraction processing on the signal characteristic data to obtain signal modulation characteristic data, where the signal modulation characteristic data is characteristic data used to represent the modulation method of the drone video transmission signal; Perform inverse demodulation processing based on the signal modulation characteristic data on the drone video transmission signal data to obtain the process composite video signal data.

3. The data processing method according to claim 1, characterized in that Performing signal decoding processing on the process composite video signal data to obtain video image pixel data to be processed includes: Perform synchronous signal extraction processing on the process composite video signal data to obtain synchronous signal data; Perform signal format judgment processing on the synchronous signal data to obtain signal format characteristic data; Determine the video image pixel data to be processed according to the synchronous signal data and the signal format characteristic data.

4. The data processing method according to claim 1, characterized in that, Performing image signal restoration processing on the video image pixel data to be processed to obtain the video transmission video data includes: Perform color burst signal extraction processing based on channel estimation on the video image pixel data to be processed to obtain color burst signal data; Perform chrominance demodulation processing based on phase change characteristics on the color burst signal data to obtain chrominance demodulation data; Perform color difference signal extraction processing on the video image pixel data to be processed to obtain process color difference signal data; Perform calibration processing on the process color difference signal data to obtain calibrated color difference signal data; Perform image restoration processing on the chrominance demodulation data and the standard color difference signal data to obtain the video transmission video data.

5. The data processing method according to claim 1, characterized in that, Performing signal screening processing based on time-frequency conversion on the signal detection data to be processed to obtain drone video transmission signal data includes: Perform frequency domain feature extraction processing based on time-frequency conversion on the signal detection data to be processed to obtain frequency domain feature data to be processed; Perform signal screening processing based on a preset frequency domain feature threshold on the frequency domain feature data to be processed to obtain target frequency domain feature data, where the target frequency domain feature data is frequency domain feature data to be processed that satisfies the preset frequency domain feature threshold; Resample the signal corresponding to the target frequency-domain feature data to obtain the UAV video transmission signal data.

6. A data processing device for drone video transmission, characterized in that, Applied to FPV UAVs to achieve digital analysis of FPV UAV simulated video transmission, including: A signal detection module for obtaining signal detection data to be processed, where the signal detection data to be processed is data for representing the detection of UAV simulated video transmission signals; A signal screening module for performing signal screening processing based on time-frequency conversion on the signal detection data to be processed to obtain UAV video transmission signal data; A video signal restoration module for performing signal processing based on video signal restoration on the UAV video transmission signal data to obtain video transmission video data, including: A signal demodulation module for performing demodulation processing based on modulation characteristics on the UAV video transmission signal data to obtain process composite video signal data; A signal decoding module for performing signal decoding processing on the process composite video signal data to obtain video image pixel data to be processed; An image signal restoration module for performing image signal restoration processing on the video image pixel data to be processed to obtain the video transmission video data.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions for causing the computer to execute the data processing method for UAV video transmission according to any one of claims 1-5.

8. An electronic device, characterized in that, Including: At least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor to cause the at least one processor to execute the data processing method for UAV video transmission according to any one of claims 1-5.

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