A remote identification multi-direction receiving and analyzing system and method for unmanned aerial vehicles

CN122802018APending Publication Date: 2026-09-22CHINA TELECOM UNMANNED TECHNOLOGY (JIANGSU) CO LTD
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Patent Information

Application Number
CN202611155184.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-07-31
Publication Date
2026-09-22

AI Technical Summary

Technical Problem

[0005]本发明提供了一种无人机远程识别多方向接收解析系统及方法,以解决无线广播数据采集设备存在无法有效识别信号来向,且多协议并行处理效率低导致接收数据不完整、实时性不足的问题

Benefits of technology

[0019]本发明将多个接收单元分别部署于不同空间方向,各接收单元独立接收各自方向上的无线广播信号,主控模块汇聚各方向解析结果后,可通过比较同一目标在各方向上的信号强度差异判断广播信号来向,克服了难以识别信号空间来向的缺陷。同时,各接收单元中第一频段天线与第一微处理器构成独立的解析通道,第二频段天线接收的信号经低噪声放大器放大后由功率分路器分配为两路,分别送入第二微处理器和第三微处理器,使两个微处理器分别针对WIFI广播数据和蓝牙广播数据在同一时刻互不干扰地并行解析,相较于相关技术中单一处理链路依靠软件分时切换处理不同协议的方式,减少了因频繁切换和等待导致的数据帧丢失,降低了漏报率和解析延迟,使系统在高密度广播场景下仍能保持较高的接收完整性和实时性。此外,各接收单元在本地完成协议识别和数据提取后仅将解析结果发送至主控模块,降低了主控模块的计算压力和通信带宽占用,主控模块将各方向解析结果汇聚后统一上传至云端服务器,支持固定站点有线回传和临时布控蜂窝网络回传两种方式,便于工程化部署与远程管理。

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Abstract

The application relates to the technical field of wireless communication, and discloses a remote unmanned aerial vehicle multi-direction receiving and analyzing system and method, which comprises a plurality of receiving units arranged in multiple directions, a main control module and a cloud server; the receiving unit comprises a first frequency band receiving link and a second frequency band receiving link. The first frequency band link is connected with an antenna and a first microprocessor; the second frequency band link transmits antenna signals to a second microprocessor and a third microprocessor for parallel analysis after the signals are amplified with low noise and power split. The second microprocessor receives analysis results of the microprocessors and uploads the results to the main control module. The application uses multi-directional arrangement of identification signals, parallel analysis by hardware splitting, reduces delay and avoids packet loss, and improves the completeness and real-time performance of received data.
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Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, specifically to a remote identification and multi-directional receiving and parsing system and method for unmanned aerial vehicles (UAVs). Background Technology

[0002] With the rapid development of the drone industry, low-altitude safety supervision has become an important issue in urban management. RemoteID (remote identification) technology, as a key means of obtaining drone identity, location and status information, is being widely used in the field of drone compliance flight monitoring and trajectory tracking. Its core lies in the efficient collection and analysis of broadcast signals on the ground.

[0003] Existing wireless broadcast data acquisition devices mostly employ a single-antenna or a small number of omnidirectional antennas for receiving. While this structure can detect the presence of signals, it cannot effectively distinguish whether the signal originates from above, in front, or other spatial directions, lacking spatial situational awareness capabilities. Furthermore, for the multiple protocols involved in Remote ID broadcasting, such as 5GHz WiFi, 2.4GHz WiFi, and BLE, existing devices often use single-link processing or time-division polling mechanisms. When WiFi and BLE signals coexist in the 2.4GHz band, protocol conflicts easily arise due to resource contention, resulting in high data parsing latency, high packet loss rate, and difficulty in achieving real-time data aggregation and remote management through edge computing and cloud connectivity.

[0004] Therefore, existing technologies have the problems of being unable to effectively identify the direction of the signal, and the low efficiency of multi-protocol parallel processing leads to incomplete received data and insufficient real-time performance. Summary of the Invention

[0005] This invention provides a remote identification and multi-directional reception analysis system and method for unmanned aerial vehicles (UAVs) to solve the problems of wireless broadcast data acquisition devices being unable to effectively identify the direction of signal reception, and the low efficiency of multi-protocol parallel processing leading to incomplete received data and insufficient real-time performance.

[0006] In a first aspect, the present invention provides a remote identification and multi-directional receiving and parsing system for unmanned aerial vehicles (UAVs), the system comprising: Multiple receiving units, main control module and cloud server; The plurality of receiving units are respectively arranged in different spatial directions; each receiving unit includes a first frequency band receiving link and a second frequency band receiving link; The first frequency band receiving link includes a first frequency band antenna and a first microprocessor connected in sequence; The second frequency band receiving link includes a second frequency band antenna, two stages of low noise amplifiers and a power splitter connected in sequence, and the two outputs of the power splitter are respectively connected to a second microprocessor and a third microprocessor; The first microprocessor is used to parse the first frequency band wireless broadcast signal received by the first frequency band antenna; the two-stage low-noise amplifier is used to perform low-noise amplification processing on the second frequency band wireless broadcast signal received by the second frequency band antenna; the power splitter is used to split the low-noise amplified second frequency band wireless broadcast signal into two paths, which are respectively transmitted to the second microprocessor and the third microprocessor. The second microprocessor and the third microprocessor are used to perform parallel analysis on the spun-out signals; The first microprocessor and the third microprocessor are respectively connected to the second microprocessor; the second microprocessor is connected to the main control module and is used to aggregate the parsing results of the first microprocessor, the second microprocessor and the third microprocessor in this unit and send them to the main control module; The main control module is used to merge the parsing results of each receiving unit and upload them to the cloud server.

[0007] In one optional implementation, the plurality of receiving units includes five receiving units, which are respectively disposed in the upward, forward, backward, left, and right directions.

[0008] In one optional implementation, the first frequency band receiving link is a 5GHz band, and the second frequency band receiving link is a 2.4GHz band; The first frequency band receiving link also includes a first-stage bandpass filter, a first-stage low-noise amplifier, and a first-stage second-stage bandpass filter; In the first frequency band receiving link, the first frequency band antenna, the first first-stage bandpass filter, the first-stage low-noise amplifier, the first second-stage bandpass filter, and the first microprocessor are connected in sequence. The second frequency band receiving link also includes a second-stage bandpass filter, a second-stage bandpass filter, and a third-stage bandpass filter; In the second frequency band receiving link, the second frequency band antenna, the second first-stage bandpass filter, the two-stage low-noise amplifier, and the power splitter are connected in sequence; the first output terminal of the power splitter is connected to the second microprocessor through the second second-stage bandpass filter, and the second output terminal of the power splitter is connected to the third microprocessor through the third second-stage bandpass filter.

[0009] In one alternative implementation, the first microprocessor is further configured to parse remote identification broadcast data in the first frequency band wireless broadcast signal; The second microprocessor is also used to parse WIFI broadcast data in the second frequency band wireless broadcast signal; The third microprocessor is also used to parse Bluetooth broadcast data in the second frequency band wireless broadcast signal.

[0010] In one optional implementation, after each of the first, second, and third microprocessors has completed parsing, it is further configured to send the parsing result to the second microprocessor. The second microprocessor is further configured to add direction identifiers, timestamps, signal strength values, frequency band identifiers, and protocol type identifiers to the parsing results of each microprocessor, generate structured data frames corresponding to each microprocessor, and output them to the main control module in hexadecimal encoding format.

[0011] In one optional implementation, the main control module is connected to the second microprocessor of each of the receiving units via a serial communication bus, for receiving the structured data frames output by each of the receiving units.

[0012] In one optional implementation, the main control module is further configured to perform the following operations: The parsing results of each receiving unit are deduplicated, merged, and time-aligned to obtain the fused parsing result; In the fused analysis results, data records with the same target identifier within the same time window are obtained. Based on the signal strength value, decoding success rate, or number of consecutive receptions in each data record, the spatial direction of the receiving unit corresponding to the data record is determined as the source direction of the wireless broadcast signal with the target identifier. The fused parsing results are encapsulated into data packets according to a unified data protocol and uploaded to the cloud server.

[0013] In one optional implementation, the system further includes a data upload module; The data upload module is connected to the main control module. The data upload module includes at least one of a cellular mobile communication module and a wired network interface, and is used to upload the data aggregated by the main control module to the cloud server.

[0014] In one optional implementation, the plurality of receiving units are powered by the same power source, and each receiving unit has an independent step-down power supply chip inside.

[0015] Secondly, the present invention provides a method for remote identification and multi-directional reception analysis of unmanned aerial vehicles (UAVs), wherein the method is applied to the aforementioned UAV remote identification and multi-directional reception analysis system, and includes: The wireless broadcast signal is received by multiple receiving units positioned in different spatial directions. In each of the receiving units, a first microprocessor of the first frequency band receiving link parses the first frequency band wireless broadcast signal in the wireless broadcast signal; In each receiving unit, the second frequency band wireless broadcast signal in the wireless broadcast signal is received through the second frequency band receiving link, and the second frequency band wireless broadcast signal is amplified by a low noise amplifier and then split into two paths by a power splitter. One path is analyzed by a second microprocessor and the other path is analyzed by a third microprocessor. The second microprocessor and the third microprocessor perform parallel analysis on the split signals. In each of the receiving units, the second microprocessor aggregates the parsing results of the first microprocessor, the second microprocessor, and the third microprocessor within the unit and sends them to the main control module. The main control module merges the parsing results of each receiving unit and uploads them to the cloud server.

[0016] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform a method for remote identification and multi-directional reception and parsing of unmanned aerial vehicles (UAVs) according to the second aspect above or any corresponding embodiment.

[0017] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute a remote identification multi-directional receiving and parsing method for unmanned aerial vehicles (UAVs) according to the second aspect above or any corresponding embodiment thereof.

[0018] Fifthly, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute a remote identification multi-directional receiving and parsing method for unmanned aerial vehicles (UAVs) according to the second aspect above or any corresponding embodiment thereof.

[0019] This invention deploys multiple receiving units in different spatial directions, with each unit independently receiving wireless broadcast signals from its own direction. After the main control module aggregates the analysis results from each direction, it can determine the direction of the broadcast signal by comparing the signal strength differences of the same target in each direction, overcoming the difficulty in identifying the spatial direction of the signal. Simultaneously, the first-band antenna and the first microprocessor in each receiving unit form an independent analysis channel. The signal received by the second-band antenna is amplified by a low-noise amplifier and then divided into two paths by a power splitter, which are sent to the second and third microprocessors respectively. This allows the two microprocessors to analyze WIFI broadcast data and Bluetooth broadcast data in parallel without interference at the same time. Compared to related technologies that rely on software time-sharing to process different protocols through a single processing link, this reduces data frame loss caused by frequent switching and waiting, lowers the false alarm rate and analysis delay, and enables the system to maintain high reception integrity and real-time performance even in high-density broadcast scenarios. In addition, after each receiving unit completes protocol identification and data extraction locally, it only sends the parsing results to the main control module, which reduces the computing pressure and communication bandwidth usage of the main control module. The main control module aggregates the parsing results from all directions and uploads them to the cloud server in a unified manner, supporting both wired backhaul at fixed sites and backhaul via temporary cellular networks, which facilitates engineering deployment and remote management. Attached Figure Description

[0020] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0021] Figure 1 This is a schematic diagram of a multi-directional receiving and parsing system for remote identification of unmanned aerial vehicles (UAVs) according to an embodiment of the present invention. Figure 2 This is a schematic diagram of the internal structure of the receiving unit according to an embodiment of the present invention; Figure 3 This is a system block diagram of a remote identification multi-directional receiving and parsing system for unmanned aerial vehicles according to an embodiment of the present invention; Figure 4 This is a system block diagram of a receiving unit according to an embodiment of the present invention; Figure 5 This is a block diagram of a radio frequency unit system according to an embodiment of the present invention; Figure 6 This is a schematic diagram of the internal architecture of the main control board according to an embodiment of the present invention; Figure 7This is a flowchart illustrating a method for remote identification and multi-directional reception and analysis of unmanned aerial vehicles according to an embodiment of the present invention. Figure 8 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0023] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0024] This embodiment provides a remote identification and multi-directional receiving and parsing system for unmanned aerial vehicles (UAVs). Figure 1 This is a schematic diagram of a multi-directional receiving and parsing system for remote identification of unmanned aerial vehicles (UAVs) according to an embodiment of the present invention. Figure 1 As shown, the system includes: Multiple receiving units 10, main control module 20 and cloud server 30; The plurality of receiving units 10 are respectively arranged in different spatial directions; each receiving unit 10 includes a first frequency band receiving link 110 and a second frequency band receiving link 120, see here. Figure 2 The diagram shows the internal structure of the receiving unit 10. The first frequency band receiving link 110 includes a first frequency band antenna 111 and a first microprocessor 112 connected in sequence. The second frequency band receiving link 120 includes a second frequency band antenna 121, two-stage low noise amplifiers 122 and a power splitter 123 connected in sequence. The two output terminals of the power splitter 123 are respectively connected to a second microprocessor 124 and a third microprocessor 125. The first microprocessor 112 is used to analyze the first frequency band wireless broadcast signal received by the first frequency band antenna 111; the two-stage low-noise amplifier 122 is used to perform low-noise amplification processing on the second frequency band wireless broadcast signal received by the second frequency band antenna 121; the power splitter 123 is used to split the low-noise amplified second frequency band wireless broadcast signal into two paths, which are respectively transmitted to the second microprocessor 124 and the third microprocessor 125; The second microprocessor 124 and the third microprocessor 125 are used to perform parallel analysis on the spun-out signals; The first microprocessor 112 and the third microprocessor 125 are respectively connected to the second microprocessor 124; the second microprocessor 124 is connected to the main control module 20 and is used to aggregate the parsing results of the first microprocessor 112, the second microprocessor 124 and the third microprocessor 125 in this unit and send them to the main control module 20. The main control module 20 is used to merge the parsing results of each receiving unit 10 and upload them to the cloud server 30.

[0025] Furthermore, this invention achieves multi-directional reception and aggregation reporting of UAV remote identification broadcast signals through a hierarchical architecture consisting of multiple receiving units 10, a main control module 20, and a cloud server 30. The multiple receiving units 10 form the front-end perception layer of the system. Each receiving unit 10 is an independent signal acquisition and processing node, possessing complete radio frequency reception and data processing capabilities. The multiple receiving units 10 are respectively positioned in different spatial directions, such as up, front, back, left, and right, each responsible for acquiring wireless broadcast signals from its corresponding direction. This multi-directional independent deployment structure enables the system to obtain spatial direction information of the signal, providing a data foundation for subsequent direction determination.

[0026] The main control module 20 is the intermediate aggregation layer of the system. After each receiving unit 10 completes its local signal analysis, it sends the analysis results to the main control module 20, which then aggregates and organizes the data. The main control module 20 does not directly process the raw radio frequency signal, but instead receives the structured analysis results extracted by each receiving unit 10, thus reducing the computational requirements of the main control module 20.

[0027] The cloud server 30 is the system's backend application layer. The main control module 20 uploads the aggregated data to the cloud server 30 via wired or wireless network, where it is stored, displayed, and further analyzed. By uploading the data to the cloud, remote centralized management of the data is achieved.

[0028] The aforementioned three-tier architecture—independent front-end reception, mid-end aggregation and processing, and back-end cloud management—physically and logically separates signal acquisition, data processing, and application analysis, making the functional boundaries of each layer clear and facilitating modular design and engineering deployment of the system.

[0029] Furthermore, the receiving unit 10 is a front-end device that directly interacts with wireless signals. Each receiving unit 10 includes an antenna and a microprocessor, independently completing signal reception and parsing in a specific spatial direction. The antenna is responsible for converting the wireless signals propagating in space into electrical signals, and the microprocessor is responsible for protocol identification, data extraction, and structured encoding of the electrical signals. Multiple receiving units 10 are respectively set in different spatial directions, meaning that the antennas of each receiving unit 10 are facing different physical directions, and each receives broadcast signals from that direction. When a drone is located above the device, the signal strength received by the receiving unit 10 deployed in the upper direction is usually higher than that of the receiving units 10 in other directions. Based on this, the main control module 20 can preliminarily determine the spatial orientation of the drone.

[0030] like Figure 2 As shown, each receiving unit 10 includes a first frequency band receiving link 110 and a second frequency band receiving link 120, corresponding to two different operating frequency bands. The two frequency band receiving links are independently configured within the same receiving unit 10, sharing the same physical space, but are independent in terms of circuitry and signal processing, each possessing its own independent antenna, signal conditioning circuitry, and microprocessor. This dual-link parallel structure enables a single receiving unit 10 to simultaneously receive and analyze wireless broadcast signals on two different frequency bands without the need for time-division switching between frequency bands.

[0031] The first frequency band receiving link 110 is composed of a first frequency band antenna 111 and a first microprocessor 112 connected in sequence. The first frequency band antenna 111 is used to receive wireless broadcast signals of the first frequency band, converting electromagnetic waves in space into electrical signals, which are then transmitted to the first microprocessor 112 via a feeder. The first microprocessor 112 is loaded with a parsing program corresponding to the first frequency band communication protocol, which can identify broadcast frames conforming to the protocol from the received electrical signals and extract payload data from them. The output terminal of the first frequency band antenna 111 is directly connected to the input terminal of the first microprocessor 112, and the signal is directly sent to the first microprocessor 112 for processing after entering through the antenna. Since the strength of the wireless broadcast signal of the first frequency band is usually sufficient to be directly identified by the input interface of the microprocessor, no additional amplification device is required in this link.

[0032] The second-band receiving link 120 differs from the first-band receiving link 110 in that it adds a low-noise amplifier and a power splitter 123 before the signal enters the microprocessor. This is because the second band simultaneously carries two different protocol types of broadcast signals. The two protocols have different modulation methods and frame structures, requiring different parsing programs for processing. Therefore, one input signal needs to be copied into two, each sent to a separate microprocessor for parallel processing. The second-band antenna 121 receives the second-band wireless broadcast signal and converts it into an electrical signal, which is then first sent to the low-noise amplifier. The low-noise amplifier amplifies the weak input RF signal, ensuring the signal amplitude reaches a level that subsequent circuits can effectively process, while minimizing its own introduced noise and preserving as much of the original signal information as possible. The amplified signal then enters the power splitter 123, which distributes the energy of one input signal into two output signals. Both output signals contain the same information as the input signal and are transmitted to the second microprocessor 124 and the third microprocessor 125, respectively. The two microprocessors analyze the input signal independently without interfering with each other.

[0033] The second-band receiving link 120 operates in parallel parsing mode. The second microprocessor 124 is loaded with a parsing program for the Wi-Fi broadcast protocol, extracting Wi-Fi broadcast frames from the split signal; the third microprocessor 125 is loaded with a parsing program for the Bluetooth broadcast protocol, extracting Bluetooth broadcast frames from the split signal. The two microprocessors execute their parsing tasks independently at the same time. While one microprocessor is parsing a broadcast frame for one protocol, the other microprocessor can process broadcast frames for another protocol without waiting. The two microprocessors do not block each other due to contention for processing resources, avoiding processing delays and data loss caused by time-sharing.

[0034] After each microprocessor completes its analysis, it appends information such as direction identifier, timestamp, and signal strength value to the analysis results before sending them to the main control module 20. The main control module 20 receives the analysis results from all microprocessors in all receiving units 10, aggregates them, and uploads them to the cloud server 30 via wired or wireless network. Through this aggregation and upload, the main control module 20 centralizes the multi-directional, multi-frequency-band, and multi-protocol analysis results from the front end, providing data input for subsequent applications on the cloud server 30.

[0035] In one alternative embodiment, the plurality of receiving units 10 includes five receiving units 10, which are respectively disposed in the upward, forward, backward, left and right directions.

[0036] Furthermore, this embodiment further defines the specific number and deployment orientation of the receiving units 10. In actual deployment, the five directions—up, front, back, left, and right—constitute a three-dimensional spatial coverage centered on the device, covering the five main signal sources in the horizontal plane (front, back, left, and right) and the vertical direction (up). Each of the five receiving units 10 operates independently, collecting broadcast signals from its corresponding direction. When a drone is above the device, the signal strength collected by the receiving unit 10 in the up direction is typically higher than in the other four directions; when the drone is in front of the device, the signal strength of the receiving unit 10 in the front direction is the highest. The main control module 20 can determine the approximate spatial orientation of the target by comparing the signal strength differences of the same target in the five directions. The number of deployments in the five directions is a choice that balances spatial resolution and device cost; too few directions result in insufficient positioning accuracy, while too many directions increase device complexity and cost.

[0037] In one optional implementation, the first frequency band receiving link 110 is in the 5 GHz band, and the second frequency band receiving link 120 is in the 2.4 GHz band. The first frequency band receiving link 110 also includes a first-stage bandpass filter, a first-stage low-noise amplifier, and a first-stage second-stage bandpass filter; In the first frequency band receiving link 110, the first frequency band antenna 111, the first stage bandpass filter, the first stage low noise amplifier, the first stage bandpass filter and the first microprocessor 112 are connected in sequence; The second-band receiving link 120 also includes a second-stage bandpass filter, a second-stage bandpass filter, and a third-stage bandpass filter; In the second frequency band receiving link 120, the second frequency band antenna 121, the second first-stage bandpass filter, the two-stage low-noise amplifier 122, and the power splitter 123 are connected in sequence; the first output terminal of the power splitter 123 is connected to the second microprocessor 124 through the second second-stage bandpass filter, and the second output terminal of the power splitter 123 is connected to the third microprocessor 125 through the third second-stage bandpass filter.

[0038] Furthermore, this embodiment further defines the specific frequency values ​​of the first and second frequency bands. According to current technical specifications for remote identification broadcast data, the remote identification signals broadcast by drones are primarily carried in the 2.4GHz and 5GHz frequency bands. The 2.4GHz band carries broadcast data using two protocols: one based on the Wi-Fi protocol and the other based on the Bluetooth protocol. The 5GHz band carries broadcast data based on the Wi-Fi protocol. By limiting the first frequency band to the 5GHz band and the second frequency band to the 2.4GHz band, the system can cover the current mainstream operating frequency bands for drone remote identification broadcasts. Please refer to [link to relevant documentation]. Figure 3The diagram shown illustrates a multi-directional receiving and parsing system for remote identification of unmanned aerial vehicles (UAVs). It displays the internal hardware architecture and external communication interface of the device, with the power input located at... Figure 3 At the very bottom, an external DC power supply is provided for the entire device. The main control ARM board (i.e., the aforementioned main control module 20) is located at... Figure 3 The central section is the core of the entire device's data aggregation and control. Each receiving unit 10 is an independent signal receiving and parsing node, with built-in 2.4GHz and 5GHz dual-band receiving links, corresponding to the second frequency band receiving link 120 and the first frequency band receiving link 110 mentioned above, respectively, capable of simultaneously receiving wireless broadcast signals from both frequency bands. The main control ARM board is connected to the five receiving units 10 via an RS232 + 12V power supply bus, with the 12V power supply line providing operating power to each receiving unit 10. The main control ARM board has a SIM card interface and an Ethernet interface for external communication, enabling the aggregation of parsing results from each receiving unit 10 and uploading to the cloud server 30. The SIM card interface uploads via cellular network, while the Ethernet interface uploads via wired network. The main control ARM board also connects to a cellular antenna and a GNSS antenna. The cellular antenna is used to access the cellular mobile communication network for data backhaul, and the GNSS antenna is used to receive navigation satellite signals for device self-positioning. After the main control ARM board aggregates the parsing results from the five receiving units 10, it uploads them to the cloud server 30 via the SIM card interface or Ethernet interface. It should be noted that... Figure 3 The diagram shows the main body of the device, while the cloud server 30, as a remotely deployed external device, is not shown in the diagram.

[0039] Furthermore, Figure 4The diagram below shows the system block diagram of the receiving unit 10, corresponding to its specific implementation structure. The antenna group includes two independent antennas: a 2.4GHz antenna (second band antenna 121) and a 5GHz antenna (first band antenna 111). The radio frequency processing unit (implemented via a low-noise amplifier and power splitter 123) is divided into two independent radio frequency receiving links: 2.4GHz and 5GHz. The 5GHz link corresponds to the first band receiving link 110, and the 2.4GHz link corresponds to the second band receiving link 120. The 2.4GHz link integrates a low-noise amplifier and power splitter 123, splitting the received 2.4GHz band signal into two paths, which are then fed into two microcontrollers (i.e., the second microprocessor 124 and the third microprocessor 125) for parallel parsing of WIFI broadcast data and Bluetooth broadcast data. The 5GHz link sends the received 5GHz band signal to a microcontroller (corresponding to the first microprocessor 112) for parsing of wireless broadcast data. After each microcontroller completes its analysis, it sends the results to the second microprocessor 124. The second microprocessor 124 then aggregates the analysis results from the first microprocessor 112, the second microprocessor 124, and the third microprocessor 125 within its unit, generates a structured data frame, and sends the structured data frame to the main control module 20 via an RS232 circuit and an external interface powered by RS232 +12V. The power supply system receives a 12V power input and internally uses an independent step-down power chip to step down the voltage to the operating voltage required by each chip, thus achieving independent power supply for each chip within the receiving unit 10.

[0040] Figure 5The diagram shows the internal structure of the RF front-end in a single receiver unit 10. The left side of the diagram shows the 5GHz and 2.4GHz antenna signals received, corresponding to the first band antenna 111 (5GHz antenna) and the second band antenna 121 (2.4GHz antenna), respectively. In the 5GHz link, the signal is processed sequentially by a bandpass filter (i.e., the first-stage bandpass filter), a first-stage low-noise amplifier, and a bandpass filter (i.e., the first and second-stage bandpass filters) before being output to the subsequent baseband processing unit. In the 2.4GHz link, the signal is processed sequentially by a bandpass filter (i.e., the second-stage bandpass filter) and two stages of low-noise amplifiers 122 before being output to the power splitter 123. Of the two split signals, one is transmitted to the second microprocessor 124 after passing through a bandpass filter (corresponding to the second and second-stage bandpass filter), and the other is transmitted to the third microprocessor 125 after passing through a bandpass filter (corresponding to the third and second-stage bandpass filter). The bandpass filter selects signals from the broadband signals received by the antenna, allowing signals of a specific frequency band (5GHz or 2.4GHz) to pass through, while attenuating interference signals outside this band to prevent strong out-of-band interference signals from entering subsequent amplifiers and causing saturation of the low-noise amplifier. The low-noise amplifier performs low-noise pre-amplification on the filtered weak RF signal, increasing the signal amplitude with minimal added noise to meet the demodulation sensitivity requirements of the subsequent baseband processing unit. The cascaded structure of the bandpass filter and low-noise amplifier in the 5GHz link, and the cascaded structure of the bandpass filter and two-stage low-noise amplifier 122 in the 2.4GHz link, provide sufficient gain while ensuring adequate out-of-band interference suppression depth, enabling the system to stably receive weak broadcast signals even in complex electromagnetic environments. The second and third stage bandpass filters, respectively set after splitting, further filter out noise and interference that may be introduced during the splitting process before the signals enter their respective microprocessors, ensuring that both signals enter the resolution chip with clean frequency band characteristics.

[0041] Figure 5 The radio frequency unit shown is the front end of each receiver unit 10. The 2.4GHz link output signal enters the power splitter 123 for splitting, and after splitting, it is transmitted to the second microprocessor 124 and the third microprocessor 125 for parallel analysis through their respective bandpass filters; the 5GHz link output signal is directly transmitted to the first microprocessor 112 for analysis.

[0042] In an alternative implementation, the first microprocessor 112 is further configured to parse remote identification broadcast data in the first frequency band wireless broadcast signal; The second microprocessor 124 is also used to parse WIFI broadcast data in the second frequency band wireless broadcast signal; The third microprocessor 125 is also used to parse Bluetooth broadcast data in the second frequency band wireless broadcast signal.

[0043] Furthermore, this embodiment further defines the specific data content parsed by each of the three microprocessors. Remote identification broadcast data is payload data carried in broadcast frames of a specific frequency band and protocol, containing the UAV's identification, location information, speed information, etc. The first microprocessor 112 extracts remote identification broadcast data from the first frequency band wireless broadcast signal, covering remote identification information carried on the 5GHz band. The second microprocessor 124 extracts WIFI broadcast data from the second frequency band wireless broadcast signal, and the third microprocessor 125 extracts Bluetooth broadcast data from the second frequency band wireless broadcast signal. These three types of data content have different frame structures and encoding methods in different frequency bands and different protocols, requiring parsing through their respective corresponding protocol stacks.

[0044] In one optional implementation, after each of the first microprocessor 112, the second microprocessor 124, and the third microprocessor 125 has completed parsing, they are further configured to send the parsing result to the second microprocessor 124. The second microprocessor 124 is also used to add direction identifier, timestamp, signal strength value, frequency band identifier and protocol type identifier to the parsing results of each microprocessor, generate structured data frames corresponding to each microprocessor, and output them to the main control module 20 in hexadecimal encoding format.

[0045] Furthermore, this embodiment further defines the data output format after each microprocessor completes parsing. After parsing, each microprocessor associates the original parsing result with information such as the deployment direction information of the receiving unit 10, the time of parsing by the processor, the signal strength at reception, the frequency band, and the protocol type used to generate a structured data frame. The direction identifier is used to distinguish the spatial direction from which the data originates; the timestamp is used for timing alignment of subsequent multi-directional data; the signal strength value is used for comparison during direction determination; and the frequency band identifier and protocol type identifier are used to distinguish the source frequency band and protocol type of the data. The structured data frame is output in hexadecimal encoding format through the output interface of each receiving unit 10. Hexadecimal is an encoding method that facilitates data transmission and storage.

[0046] In one optional implementation, the main control module 20 is connected to the second microprocessor 124 of each receiving unit 10 via a serial communication bus, and is used to receive the structured data frame output by each receiving unit 10.

[0047] Furthermore, this embodiment further defines the physical connection method between the main control module 20 and each receiving unit 10. The main control module 20 is connected to the second microprocessor 124 of each receiving unit 10 via a serial communication bus. A serial communication bus is a communication method that sends data bit by bit sequentially. Compared to parallel communication, serial communication requires fewer physical connections and can effectively simplify system wiring in scenarios with large-scale node connections. Each receiving unit 10 sends its own structured data frame to the main control module 20 via the serial communication bus. The main control module 20 receives the structured data frames output by each receiving unit 10 via the serial communication bus, providing data input for subsequent aggregation processing.

[0048] In an optional implementation, the main control module 20 is further configured to perform the following operations: The parsing results of each receiving unit 10 are deduplicated, merged, and time-aligned to obtain the fused parsing result; In the fused analysis results, data records with the same target identifier within the same time window are obtained. Based on the signal strength value, decoding success rate, or number of consecutive receptions in each data record, the spatial direction of the receiving unit 10 corresponding to the data record is determined as the source direction of the wireless broadcast signal with the target identifier. The merged parsing results are encapsulated into a data packet according to a unified data protocol and uploaded to the cloud server 30.

[0049] Furthermore, after aggregating the parsing results reported by each receiving unit 10, the main control module 20 first performs deduplication and merging and timing alignment. Multiple receiving units 10 may receive broadcast data from the same UAV at the same time. Deduplication and merging eliminate duplicate data reported by different receiving units 10, while timing alignment ensures that data from different directions are comparable in time, resulting in a fused parsing result. Based on this, the main control module 20 acquires data records with the same target identifier within the same time window. According to the signal strength value, decoding success rate, or number of consecutive receptions in each data record, the spatial direction of the receiving unit 10 corresponding to the data record with the highest signal strength, highest decoding success rate, or most consecutive receptions is determined as the source direction of the target. Finally, the main control module 20 encapsulates the fused parsing result into a data packet conforming to a unified protocol and uploads it to the cloud server 30.

[0050] For further details, please see Figure 6The schematic diagram of the main control board's internal architecture shows the internal hardware composition and external interfaces of the main control module 20. The ARM SOC (System-on-a-Chip) serves as the core processor, responsible for running the communication protocol stack, data aggregation, fusion algorithms, and network protocol processing. DDR (Dynamic Random Access Memory) is used to temporarily store real-time data during operation; FLASH (Non-volatile Flash Memory) is used to store system programs and configuration parameters. Both are essential supporting chips for the normal operation of the ARM SOC. The main control ARM board connects to five receiving units 10 via five RS232×5 serial communication interfaces, receiving structured data frames reported by each receiving unit 10. The main control ARM board sends the aggregated and parsed results to the cloud server 30 through a data upload module: on one hand, it connects to the cellular network via a 4G communication module (i.e., a cellular mobile communication module) and a SIM card interface; on the other hand, it connects to the wired network via a network circuit (i.e., a wired network interface) and an Ethernet interface. These two upload methods can be flexibly selected or used as backups depending on the deployment scenario. The power system receives external power input and provides stable operating voltage to the chips and peripherals on the main control board. Figure 6 The diagram shows the internal architecture of the main control board; the receiving units 10 in each direction are not shown in the figure.

[0051] In one optional implementation, the system further includes a data upload module; The data upload module is connected to the main control module 20. The data upload module includes at least one of a cellular mobile communication module and a wired network interface, and is used to upload the data collected by the main control module 20 to the cloud server 30.

[0052] Furthermore, the cellular mobile communication module accesses the cellular mobile communication network by inserting a SIM card, making it suitable for temporary deployment scenarios where the device is on the move or lacks a wired network; the wired network interface accesses a local area network or the internet via a network cable, suitable for fixed site deployment scenarios. The combination of these two upload methods enables the system to be compatible with both fixed and mobile deployment application modes.

[0053] In one optional implementation, the plurality of receiving units 10 are powered by the same power supply, and each receiving unit 10 has an independent step-down power supply chip inside.

[0054] Furthermore, the unified power supply simplifies the external power wiring of the system, eliminating the need for a separate power adapter for each receiving unit 10. Each receiving unit 10 has an independent step-down power chip that reduces the external power input voltage to the operating voltage required by the microprocessor and RF devices. The power supply of each receiving unit 10 is independent of each other. Even if a power short circuit fault occurs in one receiving unit 10, it will not affect the normal operation of other receiving units 10, thus improving the reliability of the system.

[0055] In summary, in practical applications, the UAV remote identification multi-directional receiving and parsing system provided by this invention includes: five independently configured receiving units 10, a main control module 20, and a cloud server 30. The five receiving units 10 correspond to the five spatial directions: up, forward, backward, left, and right. Each receiving unit 10 includes a dual-frequency receiving link. Specifically, each receiving unit 10 includes: one 5GHz antenna, one 2.4GHz antenna, a first microprocessor 112 connected to the 5GHz antenna, a low-noise amplifier connected to the 2.4GHz antenna, a splitter connected to the output of the low-noise amplifier, a second microprocessor 124 connected to the first output of the splitter, and a third microprocessor 125 connected to the second output of the splitter. The 5GHz antenna receives 5GHz band wireless broadcast signals and sends them to the first microprocessor 112 for 5GHz WiFi broadcast data parsing, preferably for remote identification broadcast data parsing. A 2.4GHz antenna receives 2.4GHz wireless broadcast signals, amplifies them with a low-noise amplifier, and then sends them to a splitter. The splitter divides the 2.4GHz signal into two paths: one path is sent to a second microprocessor 124 for 2.4GHz WiFi data parsing, and the other path is sent to a third microprocessor 125 for 2.4GHz Bluetooth data parsing. The main control module 20 is connected to five receiving units 10 via a serial communication bus. Each receiving unit 10 sends its parsing results, reception time, direction identifier, signal strength information, and protocol type to the main control module 20 via the serial communication bus. The main control module 20 performs time synchronization, deduplication, fusion, and encapsulation of the data transmitted from the five directions, and uploads it to a cloud server 30 via an upload module. The cloud server 30 receives the data uploaded by the main control module 20 and performs storage, analysis, display, and alarm processing.

[0056] Based on the overall architecture described above, this invention also incorporates the following key structural designs. Regarding multi-directional independent deployment, each of the five directions is equipped with an independent antenna and receiver, enabling independent reception capabilities in each direction. By comparing the signal strength, reception timing, signal integrity, or decoding success rate of the receiving units 10 in different directions, the origin or dominant direction of the broadcast signal can be preliminarily determined. The deployment in five directions primarily aims to increase data reception capabilities, enabling the system to receive more remote identification signals from drones in different directions. It should be noted that there is no physical isolation of radio frequency signals in space; each receiving unit 10 receives independently within the same space. Each receiving unit 10 is powered by the same external power supply. After entering each receiving unit 10, an independent step-down power chip is installed to step down the voltage, ensuring that each direction has independent and complete reception capabilities. Regarding dual-frequency separation, each receiving unit 10 is equipped with both a 2.4GHz antenna and a 5GHz antenna, avoiding the reduced matching efficiency caused by a single antenna being compatible with multiple frequency bands, thereby improving the reception stability of broadcast data in different frequency bands. In terms of dual-path parallel processing of the 2.4GHz signal, the signal received by the 2.4GHz antenna is amplified by a low-noise amplifier and then enters a splitter. The splitter divides the signal into two paths, which are fed to two microprocessors respectively. One microprocessor is used for 2.4GHz WiFi data processing, and the other is used for Bluetooth data processing. This structure enables parallel acquisition and parsing of 2.4GHz WiFi and Bluetooth in the same direction, avoiding data packet loss and processing delays caused by single-processor time-division polling of the two protocols. In terms of distributed edge parsing, the five receiving units 10 complete basic protocol identification, data extraction, preliminary filtering, and structured encoding locally, and only upload the valid parsing results to the main control module 20, thereby reducing the computational pressure and serial communication bandwidth usage of the main control module 20. After the three microprocessors inside each receiving unit 10 independently complete the protocol parsing and data extraction, they send the structured data frame to the output interface of their respective receiving unit 10. In terms of unified aggregation and uploading, the main control module 20 receives serial communication bus data from five directions, performs unified protocol encapsulation, device management, buffer retransmission, heartbeat monitoring, and remote configuration, and sends it to the cloud server 30 through the cellular mobile communication module or wired network interface to achieve compatibility between fixed deployment and mobile deployment scenarios.

[0057] Accordingly, the present invention also provides a method for remote identification and multi-directional reception and analysis of unmanned aerial vehicles (UAVs), which is applied to the aforementioned UAV remote identification and multi-directional reception and analysis system. Figure 7 This is a flowchart of a method for remote identification and multi-directional reception and parsing of unmanned aerial vehicles according to an embodiment of the present invention, such as... Figure 7 As shown, the process includes the following steps: Step S701: Receive wireless broadcast signals through multiple receiving units 10 positioned in different spatial directions.

[0058] Furthermore, the receiving units 10 in different directions independently receive the wireless broadcast signals in their respective directions, providing a spatially distributed source of raw data for subsequent analysis.

[0059] In step S702, in each receiving unit 10, the first microprocessor 112 of the first frequency band wireless broadcast signal in the wireless broadcast signal is analyzed by the first microprocessor 112 of the first frequency band receiving link 110.

[0060] Furthermore, after receiving the signal, the first frequency band antenna 111 directly sends it to the first microprocessor 112, from which the microprocessor extracts the WIFI broadcast data, including remote identification broadcast data. This link signal path is direct and requires no additional amplification devices.

[0061] In step S703, in each receiving unit 10, the second frequency band wireless broadcast signal in the wireless broadcast signal is received through the second frequency band receiving link 120, and the second frequency band wireless broadcast signal is amplified by a low noise amplifier and then split into two paths by a power splitter 123. One path is analyzed by the second microprocessor 124, and the other path is analyzed by the third microprocessor 125. The second microprocessor 124 and the third microprocessor 125 perform parallel analysis on the split signals.

[0062] Furthermore, after receiving the signal, the second-band antenna 121 first amplifies it with a low-noise amplifier, and then the power splitter 123 divides it into two paths, which are then analyzed by the second microprocessor 124 and the third microprocessor 125, respectively. The two microprocessors simultaneously analyze different protocols (WiFi and Bluetooth) without interference, avoiding packet loss and latency caused by time-division switching. Meanwhile, the first microprocessor 112 operates in parallel on the 5GHz link, and the three microprocessors form a complete parallel analysis process.

[0063] In step S704, in each receiving unit 10, the second microprocessor 124 aggregates the parsing results of the first microprocessor 112, the second microprocessor 124 and the third microprocessor 125 in this unit and sends them to the main control module 20.

[0064] Furthermore, each receiving unit 10 sends the structured data frame, which has been parsed by the three microprocessors and supplemented with information such as direction identifiers and timestamps, to the main control module 20 through the output interface, thus completing the transfer of data from the acquisition end to the aggregation end.

[0065] In step S705, the main control module 20 merges the parsing results of each receiving unit 10 and uploads them to the cloud server 30.

[0066] Furthermore, the main control module 20 receives the parsing results from five directions, performs deduplication, merging, and timing alignment processing, and then encapsulates them into data packets according to a unified data protocol. These packets are then uploaded to the cloud server 30 via cellular mobile communication or a wired network. At this point, the multi-directional sensing parsing results are aggregated in the cloud, providing a data foundation for subsequent centralized storage and application analysis.

[0067] In summary, the 5GHz and 2.4GHz antennas in five directions synchronously receive wireless broadcast signals from their respective directions. The 5GHz signal from each direction enters the first microprocessor, which extracts the 5GHz WiFi broadcast content. The 2.4GHz signal from each direction is amplified by a low-noise amplifier and then split into two paths by a splitter. One path is sent to the second microprocessor for further analysis of the 2.4GHz signal. WiFi broadcast data is sent to a third microprocessor to parse 2.4GHz Bluetooth broadcast data. The data parsed by the three microprocessors is basically the same, and all are parsed according to the remote identification standard definition. Each microprocessor adds direction identifiers, timestamps, signal strength values, frequency band identifiers, and protocol identifiers to the parsed data, generates a structured data frame, and sends it to the output interface in its direction. The structured data frame is output in hexadecimal encoding format. The five receiving units report the structured data frames to the main control module through a serial communication bus. The main control module performs deduplication and merging, timing alignment, spatial direction association, and data encapsulation on the data from the five directions. The main control module sends the data to the cloud server through a cellular mobile communication module or wired network interface according to network conditions. The cloud server stores, indexes, displays, statistically analyzes, alarms, or performs trajectory analysis on the uploaded data.

[0068] The technical solution of the present invention will be further described below with reference to specific embodiments: In an embodiment of a fixed multi-directional wireless broadcast acquisition device, five receiving units are integrated within a chassis, facing upwards, forwards, backwards, leftwards, and rightwards respectively. Each antenna is either a directional or semi-directional antenna. Each receiving unit includes: a 5GHz directional or semi-directional antenna, a 2.4GHz directional or semi-directional antenna, a first microprocessor for 5GHz WiFi decoding, a second microprocessor for 2.4GHz WiFi decoding, a third microprocessor for 2.4GHz Bluetooth decoding, a low-noise amplifier, and a splitter. All five receiving units are connected to the main control module via a serial communication bus. Data from each receiving unit is aggregated by the three microprocessors and then sent to the main control module via a single serial communication bus. In actual operation, if a remote identification broadcast source is located at the upper left front of the device, the receiving units facing left, forwards, and upwards are more likely to obtain higher signal strength or a higher decoding success rate. The main control module can output the target's advantageous direction information based on the signal strength relationship of the five directions and upload the remote identification data and direction determination results to a cloud server. In the embodiment of the mobile network acquisition terminal, the aforementioned multi-directional receiving system is mounted on a mobile platform. The main control module is configured with a cellular mobile communication module, continuously sending reception records to the cloud server in a wired network environment. The cloud server can classify and manage the data according to device number, time, direction, frequency band, and protocol type, forming a remote wireless target identification and statistics system. In the embodiment of the multi-protocol fusion identification mode, when WiFi broadcast and Bluetooth broadcast exist simultaneously in the 2.4GHz band, this invention uses a low-noise amplifier and a splitter to send the signals received by the same antenna in parallel to two microprocessors. The two microprocessors each run parsing programs for different protocols, thereby avoiding time slot loss caused by a single chip switching between two types of protocols and improving the completeness of perception of the 2.4GHz mixed environment. In the embodiment of the direction association determination mode, the main control module matches the same target identification data from five directions within the same time window. If the same target broadcast is received from multiple directions, the main direction is determined by a comprehensive algorithm based on the maximum signal strength, average decoding success rate, number of consecutive receptions, or priority, thereby obtaining the target's relative azimuth information. This implementation method does not rely on a mechanical turntable, has a simple structure, and is suitable for engineering deployment.

[0069] In the above description, the plurality of receiving units includes, but is not limited to, five receiving units; the serial communication bus includes, but is not limited to, an RS232 bus; the cellular mobile communication module includes, but is not limited to, a 4G communication module; and the wired network interface includes, but is not limited to, an Ethernet interface.

[0070] Figure 8 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present invention.

[0071] The following is a detailed reference. Figure 8 This diagram illustrates a suitable structural schematic for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 801, which can perform various appropriate actions and processes based on a program stored in a read-only memory (ROM) 802 or a program loaded from memory 808 into random access memory (RAM) 803. The RAM 803 also stores various programs and data required for the operation of the electronic device. The processor 801, ROM 802, and RAM 803 are interconnected via a bus 804. An input / output (I / O) interface 805 is also connected to the bus 804.

[0072] Typically, the following devices can be connected to I / O interface 805: input devices 806 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 807 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 808 including, for example, magnetic tapes, hard disks, etc.; and communication devices 809. Communication device 809 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 8 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0073] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 809, or installed from a memory 808, or installed from a ROM 802. When the computer program is executed by the processor 801, it performs the functions defined in the UAV remote identification multi-directional reception and parsing method of the present invention.

[0074] Figure 8 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0075] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, it implements the UAV remote identification multi-directional reception and parsing method shown in the above embodiments.

[0076] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0077] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and all such modifications and variations fall within the scope defined by the invention.

Claims

1. A remote identification and multi-directional receiving and analysis system for unmanned aerial vehicles (UAVs), characterized in that, The system includes: Multiple receiving units, main control module and cloud server; The plurality of receiving units are respectively arranged in different spatial directions; each receiving unit includes a first frequency band receiving link and a second frequency band receiving link; The first frequency band receiving link includes a first frequency band antenna and a first microprocessor connected in sequence; The second frequency band receiving link includes a second frequency band antenna, two stages of low noise amplifiers and a power splitter connected in sequence, and the two outputs of the power splitter are respectively connected to a second microprocessor and a third microprocessor; The first microprocessor is used to analyze the first frequency band wireless broadcast signal received by the first frequency band antenna; the two-stage low-noise amplifier is used to perform low-noise amplification processing on the second frequency band wireless broadcast signal received by the second frequency band antenna; the power splitter is used to split the low-noise amplified second frequency band wireless broadcast signal into two paths, which are respectively transmitted to the second microprocessor and the third microprocessor; the second microprocessor and the third microprocessor are used to perform parallel analysis on the split signals; The first microprocessor and the third microprocessor are respectively connected to the second microprocessor; the second microprocessor is connected to the main control module and is used to aggregate the parsing results of the first microprocessor, the second microprocessor and the third microprocessor in this unit and send them to the main control module; The main control module is used to merge the parsing results of each receiving unit and upload them to the cloud server.

2. The system according to claim 1, characterized in that, The plurality of receiving units includes five receiving units, which are respectively arranged in the upward, forward, backward, left and right directions.

3. The system according to claim 1, characterized in that, The first frequency band receiving link is in the 5GHz band, and the second frequency band receiving link is in the 2.4GHz band; The first frequency band receiving link also includes a first-stage bandpass filter, a first-stage low-noise amplifier, and a first-stage second-stage bandpass filter; In the first frequency band receiving link, the first frequency band antenna, the first first-stage bandpass filter, the first-stage low-noise amplifier, the first second-stage bandpass filter, and the first microprocessor are connected in sequence. The second frequency band receiving link also includes a second-stage bandpass filter, a second-stage bandpass filter, and a third-stage bandpass filter; In the second frequency band receiving link, the second frequency band antenna, the second first-stage bandpass filter, the two-stage low-noise amplifier, and the power splitter are connected in sequence; the first output terminal of the power splitter is connected to the second microprocessor through the second second-stage bandpass filter, and the second output terminal of the power splitter is connected to the third microprocessor through the third second-stage bandpass filter.

4. The system according to claim 3, characterized in that, The first microprocessor is also used to parse remote identification broadcast data in the first frequency band wireless broadcast signal; The second microprocessor is also used to parse WIFI broadcast data in the second frequency band wireless broadcast signal; The third microprocessor is also used to parse Bluetooth broadcast data in the second frequency band wireless broadcast signal.

5. The system according to claim 4, characterized in that, After each of the first, second, and third microprocessors completes its parsing, it is also used to send the parsing result to the second microprocessor. The second microprocessor is further configured to add direction identifiers, timestamps, signal strength values, frequency band identifiers, and protocol type identifiers to the parsing results of each microprocessor, generate structured data frames corresponding to each microprocessor, and output them to the main control module in hexadecimal encoding format.

6. The system according to claim 5, characterized in that, The main control module is connected to the second microprocessor of each receiving unit via a serial communication bus, and is used to receive the structured data frames output by each receiving unit.

7. The system according to claim 1, characterized in that, The main control module is also used to perform the following operations: The parsing results of each receiving unit are deduplicated, merged, and time-aligned to obtain the fused parsing result; In the fused analysis results, data records with the same target identifier within the same time window are obtained. Based on the signal strength value, decoding success rate, or number of consecutive receptions in each data record, the spatial direction of the receiving unit corresponding to the data record is determined as the source direction of the wireless broadcast signal with the target identifier. The fused parsing results are encapsulated into data packets according to a unified data protocol and uploaded to the cloud server.

8. The system according to claim 1, characterized in that, The system also includes a data upload module; The data upload module is connected to the main control module. The data upload module includes at least one of a cellular mobile communication module and a wired network interface, and is used to upload the data aggregated by the main control module to the cloud server.

9. The system according to any one of claims 1 to 8, characterized in that, The multiple receiving units are powered by the same power source, and each receiving unit has an independent step-down power chip inside.

10. A method for remote identification and multi-directional reception and analysis of unmanned aerial vehicles (UAVs), characterized in that, The method is applied to a UAV remote identification multi-directional receiving and parsing system according to any one of claims 1 to 9, comprising: The wireless broadcast signal is received by multiple receiving units positioned in different spatial directions. In each of the receiving units, a first microprocessor of the first frequency band receiving link parses the first frequency band wireless broadcast signal in the wireless broadcast signal; In each receiving unit, the second frequency band wireless broadcast signal in the wireless broadcast signal is received through the second frequency band receiving link, and the second frequency band wireless broadcast signal is amplified by a low noise amplifier and then split into two paths by a power splitter. One path is analyzed by a second microprocessor and the other path is analyzed by a third microprocessor. The second microprocessor and the third microprocessor perform parallel analysis on the split signals. In each of the receiving units, the second microprocessor aggregates the parsing results of the first microprocessor, the second microprocessor, and the third microprocessor within the unit and sends them to the main control module. The main control module merges the parsing results of each receiving unit and uploads them to the cloud server.