A low-altitude aircraft situation awareness method, system, device, medium and program product based on fusion communication

Abstract

The application relates to the technical field of low-altitude airspace perception, in particular to a low-altitude aircraft situation awareness method, system, equipment, medium and program product based on fusion communication. The method comprises the following steps: detecting low-altitude aircraft radio signals in a 70MHz-6GHz frequency band; identifying the detected radio signals and performing demodulation and decoding to extract position information, speed information, height information, identity recognition information and flight state information of the aircraft; performing differential correction on the position information of the aircraft; generating airspace situation data through multi-source information fusion processing according to the position information, speed information, height information, identity recognition information and flight state information; and transmitting the airspace situation data to a superior platform or a ground control center in real time. The application realizes full-band perception and identification of multiple types of aircraft such as civil aviation, navigation, unmanned aerial vehicles and eVTOL, and effectively improves the comprehensiveness and real-time performance of low-altitude airspace perception.

Description

Technical Field

[0001] This invention relates to the field of low-altitude airspace perception technology, specifically to a method, system, device, medium, and program product for low-altitude aircraft situational awareness based on converged communication. Background Technology

[0002] With the rapid development of the low-altitude economy and the continuous advancement of national reforms in low-altitude airspace management, the number of low-altitude aircraft has experienced explosive growth, the types of aircraft have become increasingly diversified, and the airspace environment has become increasingly complex, placing higher demands on the ability to perceive the situation in low-altitude airspace.

[0003] Existing technologies for low-altitude airspace situational awareness applications suffer from the following shortcomings: a lack of effective fusion of multi-source data, resulting in significant information silos. Signals of different standards, after being demodulated by their respective independent receiving devices, exhibit significant differences in output data format, accuracy, update frequency, and spatiotemporal coordinate systems. Furthermore, an integrated, systematic fusion solution from the physical layer to the application layer has not yet been established.

[0004] Therefore, how to achieve full-band signal detection, unified decoding of multiple standards, and deep fusion of multi-source heterogeneous data for various types of aircraft in low-altitude airspace, in order to generate a complete, continuous, and high-precision unified airspace situation map and provide a reliable data foundation for low-altitude flight safety supervision, is an urgent technical problem to be solved. Summary of the Invention

[0005] The main objective of this invention is to provide a method, system, device, medium, and program product for low-altitude aircraft situational awareness based on converged communication. It aims to achieve full-band signal detection, unified decoding of multiple standards, deep fusion of multi-source data, centimeter-level high-precision positioning, and real-time transmission of multi-mode communication for various types of aircraft in low-altitude airspace through an integrated architecture and multi-source information fusion processing mechanism, thereby effectively improving the comprehensiveness, real-time performance, and reliability of low-altitude airspace situational awareness.

[0006] To achieve the above objectives, this invention provides a situational awareness method for low-altitude aircraft based on converged communication, comprising the following steps: Detection of radio signals from low-altitude aircraft in the 70MHz-6GHz frequency band; The detected radio signals are identified, demodulated, and decoded to extract the aircraft's position, speed, altitude, identification, and flight status information. Differential correction is performed on the position information of the aircraft; Based on the location information, speed information, altitude information, identification information, and flight status information, airspace situation data is generated through multi-source information fusion processing. The airspace situation data is transmitted in real time to the upper-level platform or ground control center.

[0007] Furthermore, the signal includes at least two of the following: Remote ID signal, LoRa signal, ADS-B signal, FLARM signal, and BeiDou message signal; the differential correction includes centimeter-level differential correction; and the method of transmitting the airspace situation data supports cellular networks and satellite communication.

[0008] Furthermore, the detected radio signals are identified and demodulated and decoded, specifically including: Construct a signal feature extraction model to automatically extract the frequency, bandwidth, modulation method, and signal strength features of the detected signal, and match and identify the signal system type by combining it with a preset feature library; It employs a distributed processing architecture and parallel computing technology to monitor and analyze multiple signals simultaneously. By using Kalman filtering and weighted fusion algorithms, comprehensive aircraft information is extracted from communication data of different standards. Multi-source information belonging to the same aircraft is associated through multi-dimensional matching of location, timestamp, and signal features.

[0009] Furthermore, the detection of radio signals from low-altitude aircraft in the 70MHz-6GHz frequency band specifically includes: For continuous wave signals, a real-time monitoring algorithm based on energy detection is adopted, combined with signal feature matching; for pulse signals, a pulse width recognition module is adopted, and an adaptive threshold detection based on pulse width and repetition period is used. A multi-signal separation algorithm combined with adaptive filtering technology is used to process and distinguish multiple signals of different frequencies and intensities simultaneously. Frequency hopping tracking and beamforming techniques are used to suppress strong interference signals.

[0010] The present invention also provides a situational awareness system for low-altitude aircraft based on converged communication, comprising: The signal detection module is used to detect radio signals in the 70MHz-6GHz frequency band; The signal processing and analysis module is used to identify detected radio signals and demodulate and decode them, extracting the aircraft's position, speed, altitude, identification, and flight status information. A position enhancement module is used to perform differential correction on the position information of the aircraft; The multi-source information fusion module is used to generate airspace situation data through multi-source information fusion processing based on the location information, speed information, altitude information, identification information, and flight status information. The communication transmission module is used to transmit the airspace situation data to the upper-level platform or ground control center in real time; The power management module is used to realize dynamic load adjustment, low power mode, and fault diagnosis and isolation.

[0011] The present invention also provides a situational awareness device for low-altitude aircraft based on converged communication, comprising: A wide-spectrum detection system for detecting radio signals from low-altitude aircraft in the 70MHz-6GHz frequency band; The signal monitoring and analysis system is connected to the output of the wide-spectrum detection system. It is used to identify RemoteID, LoRa, ADS-B, FLARM and BeiDou message signals and demodulate and decode them, extract the aircraft's position information, speed information, altitude information, identification information and flight status information, and generate airspace situation data. A position enhancement service system is used to perform differential correction on the position information of the aircraft; A data exchange system for exchanging data with air traffic control systems or low-altitude flight service stations; The communication system is used to transmit the airspace situation data to the upper-level platform or ground control center in real time. The power supply system is used to achieve dynamic load adjustment, low-power mode, and fault diagnosis and isolation.

[0012] Furthermore, the wideband detection system integrates an ultra-wideband antenna covering 70MHz-6GHz and a low-noise amplifier, and is equipped with dedicated narrowband filters for key frequency bands such as ADS-B 1090MHz, aircraft VHF 118-137MHz, and UAV Wi-Fi 2.4GHz / 5.8GHz. For continuous wave signals, the wideband detection system employs a real-time monitoring algorithm based on energy detection, combined with signal feature matching. For pulse signals, it uses a pulse width recognition module, employs adaptive threshold detection based on pulse width and repetition period, and integrates an adaptive anti-interference module, using frequency hopping tracking and beamforming technology to suppress strong interference signals.

[0013] Furthermore, the signal monitoring and analysis system constructs a signal feature extraction model, which is used to automatically extract frequency, bandwidth, modulation mode and signal strength features and combine them with feature library matching to identify the signal standard; the signal monitoring and analysis system also includes a multi-source data fusion engine, which uses Kalman filtering and weighted fusion algorithms to extract comprehensive aircraft information from communication data of different standards, and associates multi-source information of the same aircraft through multi-dimensional matching of location, timestamp and signal features.

[0014] Furthermore, the power supply system includes: The dynamic load adjustment unit is used to adjust the power supply voltage and operating frequency of each functional module in real time according to the current workload. A low-power control unit is used to control at least some functional modules to enter a sleep mode when no valid signal is detected or the device is in standby mode. The fault diagnosis and isolation unit is used to monitor the current and voltage status of each functional module, cut off the power supply to the corresponding module and report the fault information when an abnormality is detected.

[0015] Furthermore, the device adopts a modular architecture, and the wide-spectrum detection system, signal monitoring and analysis system, location enhancement service system, data interaction system, communication system and power supply system are all independent pluggable standardized modules, which support flexible configuration as needed and rapid on-site replacement.

[0016] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the low-altitude aircraft situational awareness method based on converged communication as described above.

[0017] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the low-altitude aircraft situational awareness method based on converged communication as described above.

[0018] The above technical solutions can achieve the following beneficial effects: wide-spectrum detection enables the detection of frequency band signals in the 70MHz-6GHz band, covering the communication frequency bands of various types of aircraft such as civil aviation, general aviation, UAVs, and eVTOL, achieving full coverage perception of low-altitude airspace; by unifying the spatiotemporal of five types of signals that were originally incompatible at the physical and protocol layers—Remote ID, LoRa, ADS-B, FLARM, and BeiDou—and combining them with Kalman filtering for dynamic weight allocation, low-altitude multi-aircraft target data association is achieved. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating the situational awareness method for low-altitude aircraft based on converged communication according to the present invention. Figure 2 This is a system architecture diagram of the low-altitude aircraft situational awareness device based on converged communication according to the present invention. Figure 3 This is a schematic diagram of the multi-source information fusion processing flow in this invention. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this application clearer, the technical solutions of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0022] Appendix Figure 1 This invention provides a situational awareness method for low-altitude aircraft based on fused communication.

[0023] Step S1: Detect radio signals of low-altitude aircraft in the 70MHz-6GHz frequency band.

[0024] Specifically, the wideband detection system receives radio signals in space, amplifies the signals using a low-noise amplifier, and then scans the entire 70MHz-6GHz frequency band using a wideband RF front-end. For key frequency bands such as ADS-B (1090MHz), aircraft VHF (118-137MHz), and drone Wi-Fi (2.4GHz / 5.8GHz), dedicated narrowband filters are used to improve signal reception sensitivity.

[0025] In this embodiment, the ultra-wideband detection antenna is actually composed of multiple arrays of vibrators covering different frequency bands, and the channel is switched by radio frequency switches to meet the full-band detection requirements.

[0026] In this step, for continuous wave signals, a real-time monitoring algorithm based on energy detection is used, combined with signal feature matching; for pulse signals, a pulse width recognition module is used, employing adaptive threshold detection based on pulse width and repetition period. A multi-signal separation algorithm (such as blind source separation) combined with adaptive filtering technology is used to simultaneously process and distinguish multiple signals of different frequencies and intensities. Frequency hopping tracking and beamforming techniques are employed to suppress strong interference signals.

[0027] Step S2: Identify the detected radio signals and demodulate and decode them to extract the aircraft's position, speed, altitude, identification information, and flight status information.

[0028] Specifically, the signal monitoring and analysis system first constructs a signal feature extraction model to automatically extract features such as frequency, bandwidth, modulation method, and signal strength of the detected signal. The extracted features are then matched with a preset feature library to identify the signal type.

[0029] The signal monitoring and analysis system adopts a distributed processing architecture and parallel computing technology, which supports the simultaneous monitoring and analysis of multiple signals (preferably no less than 100).

[0030] Step S3: Perform differential correction on the aircraft's position information.

[0031] Specifically, for single-point positioning mode, the location enhancement service system uses a pseudorange measurement algorithm and combines it with ionospheric and tropospheric error models for correction; for RTK positioning mode, it uses carrier phase differential technology and combines it with real-time differential data to achieve centimeter-level positioning accuracy.

[0032] Step S4: Generate airspace situation data by multi-source information fusion processing based on location information, speed information, altitude information, identification information and flight status information.

[0033] Specifically, multi-source information about the aircraft extracted from signals of different standards undergoes unified spatiotemporal processing, transforming all information into the same spatiotemporal reference frame. A Kalman filter and weighted fusion algorithm are employed to perform confidence-weighted fusion of position, velocity, and altitude information from different sources. A data association algorithm is designed to associate information belonging to the same aircraft from different signal standards through multi-dimensional matching of position, timestamps, and signal features. Data verification and redundant storage mechanisms, combined with error correction coding technology, are used to ensure data integrity during the fusion process.

[0034] Step S5: Transmit the airspace situation data to the upper-level platform or ground control center in real time.

[0035] Specifically, the communication system automatically selects the communication mode based on the current network environment: in areas with good 4G LTE or 5G NR cellular network coverage, 5G NR is prioritized for high-speed data transmission; in areas with insufficient cellular network coverage, it automatically switches to BeiDou short message or Iridium satellite communication. Airspace situational data is encapsulated in a standardized data format (such as JSON) before transmission.

[0036] Power supply system: During the execution of the above steps, the power supply system monitors the workload of each functional module in real time and dynamically adjusts the power supply voltage and operating frequency of each module; when no valid signal is detected or the equipment is in standby mode, at least some functional modules are controlled to enter sleep mode; when an abnormal current or voltage of a module is detected, the power supply to that module is cut off and fault information is reported.

[0037] This invention proposes a situational awareness device for low-altitude aircraft based on converged communication.

[0038] The system architecture diagram of this invention is attached. Figure 2As shown, this invention provides a situational awareness device for low-altitude aircraft based on converged communication. The device includes: a power supply system 100, a wide-spectrum detection system 200, a signal monitoring and analysis system 300, a position enhancement service system 400, a data interaction system 500, and a communication system 600. The output of the wide-spectrum detection system 200 is connected to the input of the signal monitoring and analysis system 300; the output of the position enhancement service system 400 is connected to the calibration input of the signal monitoring and analysis system 300; the data output of the signal monitoring and analysis system 300 is connected to both the data interaction system 500 and the communication system 600; and the power supply system 100 is connected to the power supply inputs of each of the above modules to provide them with power supply voltage.

[0039] The wide-spectrum detection system 200 is used to detect radio signals from low-altitude aircraft in the 70MHz-6GHz frequency band. In this embodiment, the wide-spectrum detection system 200 is equipped with a wide-band RF front-end that can cover 70MHz-6GHz. Dedicated narrow-band filters are provided for key frequency bands such as ADS-B (1090MHz), aircraft VHF (118-137MHz), and drone Wi-Fi (2.4GHz / 5.8GHz) to improve signal reception sensitivity in specific frequency bands.

[0040] The Wideband Spectrum Detection System 200 employs a real-time monitoring algorithm based on energy detection for continuous wave signals, combined with signal feature matching. For pulse signals, a pulse width recognition module is developed, using adaptive threshold detection based on pulse width and repetition period. Multi-signal separation algorithms (such as blind source separation) combined with adaptive filtering techniques are used to simultaneously process and distinguish multiple signals of different frequencies and intensities. Frequency hopping tracking and beamforming techniques are employed to suppress strong interference signals, ensuring high accuracy in target signal detection and identification.

[0041] The signal monitoring and analysis system 300 is connected to the output of the wide-spectrum detection system 200 to identify RemoteID, LoRa, ADS-B, FLARM and BeiDou message signals and demodulate and decode them, extract the aircraft's position information, speed information, altitude information, identification information and flight status information, and generate airspace situation data.

[0042] Specifically, the signal monitoring and analysis system 300 constructs a signal feature extraction model to automatically extract features such as frequency, bandwidth, modulation method, and signal strength, and performs signal standard identification by matching with a preset feature library. A multi-standard signal classifier is developed, based on a decision tree and support vector machine fusion algorithm, to achieve rapid classification of different standard signal types. An unknown signal detection module is designed to perform preliminary classification and alarm for unknown signals through abnormal feature recognition and threshold triggering mechanisms.

[0043] The signal monitoring and analysis system 300 adopts a distributed processing architecture and parallel computing technology, supporting the simultaneous monitoring and analysis of multiple signals (preferably no less than 100). It combines adaptive filtering and interference suppression algorithms to reduce cross-interference between different signals. An optimized resource scheduling algorithm dynamically allocates computing resources.

[0044] In this embodiment, the signal monitoring and analysis system 300 also employs a multi-source data fusion engine, using Kalman filtering and weighted fusion algorithms to extract comprehensive aircraft information from communication data of different standards. Specifically, multi-source information of the same aircraft extracted from signals of different standards undergoes spatiotemporal unified processing, transforming each piece of information to the same spatiotemporal reference frame; confidence-weighted fusion is performed on position, velocity, and altitude information from different sources. A data association algorithm is designed to associate multi-source information belonging to the same aircraft through multi-dimensional matching of position, timestamp, and signal features. A data verification and redundant storage mechanism, combined with error correction coding technology, is adopted to ensure the integrity of the data during the fusion process.

[0045] The position enhancement service system 400 is used to perform differential correction on the aircraft's position information. In this embodiment, for single-point positioning, the position enhancement service system 400 uses a pseudorange measurement algorithm, combined with ionospheric and tropospheric error models for correction; for RTK positioning, it uses carrier phase differential technology, combined with real-time differential data, to achieve centimeter-level positioning accuracy.

[0046] The Data Interaction System 500 is used for data exchange with Air Traffic Control (ATC) or Low Altitude Flight Service (LFSS) systems. The Data Interaction System 500 supports standardized data exchange formats (such as JSON) and can convert generated airspace situational data into a format that meets the requirements of the air traffic control system for output.

[0047] The communication system 600 is used to transmit airspace situational data to the upper-level platform or ground control center in real time. The communication system 600 supports 4G LTE, 5G NR cellular networks, BeiDou short message service, and Iridium satellite communication. In areas with good cellular network coverage, 5G NR is prioritized for high-speed data transmission; in areas with insufficient cellular network coverage, it automatically switches to satellite communication to ensure the continuity and reliability of data transmission.

[0048] The power supply system 100 is used to implement dynamic load adjustment, low-power mode, and fault diagnosis and isolation. In this embodiment, the power supply system 100 includes: a dynamic load adjustment unit, used to adjust the power supply voltage and operating frequency of each functional module in real time according to the current workload; a low-power control unit, used to control at least some functional modules to enter sleep mode when no valid signal is detected or the device is in standby mode; and a fault diagnosis and isolation unit, used to monitor the current and voltage status of each functional module, cut off the power supply to the corresponding module and report fault information when an abnormality is detected.

[0049] As a preferred implementation, the equipment adopts a modular architecture. The wide spectrum detection system 200, signal monitoring and analysis system 300, location enhancement service system 400, communication system 600 and power supply system 100 are all independent pluggable standardized modules. The modules interact with each other through standardized interfaces (such as PCIe, Ethernet, etc.), supporting flexible configuration as needed and quick replacement in the field.

[0050] In this embodiment, the types of aircraft corresponding to the aircraft radio signals detected by the device include, but are not limited to: civil airliners, general aviation aircraft, military aircraft, unmanned aerial vehicles, and electric vertical takeoff and landing aircraft (eVTOL).

[0051] As attached Figure 3 As shown, the multi-source information fusion processing flow mainly includes the following steps: spatiotemporal unification (S41), Kalman filtering (S42), and confidence-weighted fusion (S43).

[0052] Step S41: Spacetime unification.

[0053] Since the data sources of different signal standards may differ in time reference and spatial coordinate system, the signal monitoring and analysis system 300 first performs spatiotemporal unified processing on the multi-source information before performing fusion processing.

[0054] Regarding time consistency: The timestamps carried by the Remote ID signal, LoRa signal, ADS-B signal, FLARM signal, and BeiDou message signal may be based on different clock sources (such as GPS time, UTC time, or local clock). The signal monitoring and analysis system 300 unifies the time reference and synchronizes and corrects the timestamps of each signal source. Specifically, for the Remote ID signal, its timestamp may originate from the UAV's built-in clock, which may have some drift. The system calculates the difference between its timestamp and the reference time reference to perform time compensation correction.

[0055] Regarding spatial uniformity: The position information output by different signal sources may be based on different coordinate systems. The Signal Monitoring and Analysis System 300 unifies the spatial reference and performs coordinate transformation on the position information of each signal source.

[0056] Step S42: Kalman filtering.

[0057] After spatiotemporal unified processing, the signal monitoring and analysis system 300 uses Kalman filtering to establish a motion state model for the position information of the same aircraft, and recursively estimates the multi-source observation data through Kalman filtering.

[0058] Step S43: Confidence-weighted fusion.

[0059] The system assigns different confidence weights to different signal sources, with the weight values ​​dynamically calculated based on signal quality indicators (such as signal strength, signal-to-noise ratio, data update frequency, and historical accuracy). For example, when the network is good and the signal strength is balanced, the initial weight of ADS-B can be preset to 0.7 and the Remote ID to 0.3; however, when the system detects that the ADS-B signal-to-noise ratio is below the 10dB threshold, the fusion engine will automatically reduce its weight and correspondingly increase the weights of other stable signal sources. The system then performs a weighted average of the location information of each signal source according to normalized weights to obtain the fused location estimate.

[0060] As an optional implementation, when the quality indicator of a certain signal source is lower than a preset threshold (e.g., the signal-to-noise ratio is lower than 10dB), the system automatically reduces its confidence weight to 0, that is, temporarily blocks the data of the signal source to avoid the negative impact of low-quality data on the fusion result.

[0061] pass Figure 3 As shown in the above-described fusion processing flow, the signal monitoring and analysis system 300 can effectively integrate multi-source heterogeneous aircraft perception data to generate airspace situation data, providing accurate and complete decision-making basis for subsequent flight safety supervision and airspace management.

[0062] If the low-altitude aircraft situational awareness method based on converged communication of the present invention is implemented as a software functional unit and sold or used as an independent product, it can be stored in a non-transitory computer-readable storage medium. Based on this understanding, all or part of the processes of the above method embodiments of the present invention can also be implemented by a computer program instructing related hardware. This computer program can be stored in a non-transitory computer-readable storage medium, and when executed by a processor, it can implement the various steps of the above method embodiments.

[0063] The non-transitory computer-readable storage medium can be any medium capable of storing program code, such as a read-only memory, random access memory, magnetic disk, or optical disk.

[0064] The present invention also provides a computer program product, including a computer program that, when executed by a processor, implements the various steps of the above-described method embodiments.

[0065] The sequence numbers of the above embodiments of the present invention are for descriptive purposes only and do not represent the superiority or inferiority of the embodiments.

[0066] The embodiments of the present invention have been described above with reference to the accompanying drawings. However, the present invention is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of the present invention without departing from the spirit and scope of the claims. All of these forms are within the protection scope of the present invention.

Claims

1. A situational awareness method for low-altitude aircraft based on converged communication, characterized in that, Includes the following steps: Detection of radio signals from low-altitude aircraft in the 70MHz-6GHz frequency band; The detected radio signals are identified, demodulated, and decoded to extract the aircraft's position, speed, altitude, identification, and flight status information. Differential correction is performed on the position information of the aircraft; Based on the location information, speed information, altitude information, identification information, and flight status information, airspace situation data is generated through multi-source information fusion processing. The airspace situation data is transmitted in real time to the upper-level platform or ground control center.

2. The low-altitude aircraft situational awareness method based on converged communication according to claim 1, characterized in that, The signal includes at least two of the following: Remote ID signal, LoRa signal, ADS-B signal, FLARM signal, and BeiDou message signal; the differential correction includes centimeter-level differential correction; the method of transmitting the airspace situation data supports cellular network and satellite communication.

3. The low-altitude aircraft situational awareness method based on converged communication according to claim 1, characterized in that, Identifying and demodulating detected radio signals, specifically including: Construct a signal feature extraction model to automatically extract the frequency, bandwidth, modulation method, and signal strength features of the detected signal, and match and identify the signal system type by combining it with a preset feature library; It employs a distributed processing architecture and parallel computing technology to monitor and analyze multiple signals simultaneously. By using Kalman filtering and weighted fusion algorithms, comprehensive aircraft information is extracted from communication data of different standards. Multi-source information belonging to the same aircraft is associated through multi-dimensional matching of location, timestamp, and signal features.

4. The low-altitude aircraft situational awareness method based on fused communication according to claim 1, characterized in that, Detection of radio signals from low-altitude aircraft in the 70MHz-6GHz frequency band, specifically including: For continuous wave signals, a real-time monitoring algorithm based on energy detection is adopted, combined with signal feature matching; for pulse signals, a pulse width recognition module is adopted, and an adaptive threshold detection based on pulse width and repetition period is used. A multi-signal separation algorithm combined with adaptive filtering technology is used to process and distinguish multiple signals of different frequencies and intensities simultaneously. Frequency hopping tracking and beamforming techniques are used to suppress strong interference signals.

5. A situational awareness system for low-altitude aircraft based on converged communication, characterized in that, include: The signal detection module is used to detect radio signals of low-altitude aircraft in the 70MHz-6GHz frequency band. The signal processing and analysis module is used to identify detected radio signals and demodulate and decode them, extracting the aircraft's position, speed, altitude, identification, and flight status information. A position enhancement module is used to perform differential correction on the position information of the aircraft; The multi-source information fusion module is used to generate airspace situation data through multi-source information fusion processing based on the location information, speed information, altitude information, identification information, and flight status information. The communication transmission module is used to transmit the airspace situation data to the upper-level platform or ground control center in real time; The power management module is used to realize dynamic load adjustment, low power mode, and fault diagnosis and isolation.

6. A situational awareness device for low-altitude aircraft based on converged communication, characterized in that, include: A wide-spectrum detection system for detecting radio signals from low-altitude aircraft in the 70MHz-6GHz frequency band; The signal monitoring and analysis system is connected to the output of the wide-spectrum detection system. It is used to identify Remote ID, LoRa, ADS-B, FLARM and BeiDou message signals and demodulate and decode them, extract the aircraft's position information, speed information, altitude information, identification information and flight status information, and generate airspace situation data. A position enhancement service system is used to perform differential correction on the position information of the aircraft; A data exchange system for exchanging data with air traffic control systems or low-altitude flight service stations; The communication system is used to transmit the airspace situation data to the upper-level platform or ground control center in real time. The power supply system is used to achieve dynamic load adjustment, low-power mode, and fault diagnosis and isolation.

7. The low-altitude aircraft situational awareness device based on converged communication according to claim 6, characterized in that, The wideband detection system integrates an ultra-wideband antenna and a low-noise amplifier covering 70MHz-6GHz, and is equipped with dedicated narrowband filters for key frequency bands such as ADS-B 1090MHz, aircraft VHF 118-137MHz, and UAV Wi-Fi 2.4GHz / 5.8GHz. For continuous wave signals, the wideband detection system employs a real-time monitoring algorithm based on energy detection, combined with signal feature matching. For pulse signals, it uses a pulse width recognition module, employs adaptive threshold detection based on pulse width and repetition period, and integrates an adaptive anti-interference module, using frequency hopping tracking and beamforming technology to suppress strong interference signals.

8. The situational awareness device for low-altitude aircraft based on converged communication according to claim 6, characterized in that, The signal monitoring and analysis system has a signal feature extraction model, which is used to automatically extract frequency, bandwidth, modulation mode and signal strength features and combine them with feature library matching to identify the signal standard. The signal monitoring and analysis system also includes a multi-source data fusion engine, which uses Kalman filtering and weighted fusion algorithms to extract comprehensive aircraft information from communication data of different standards, and associates multi-source information of the same aircraft through multi-dimensional matching of location, timestamp and signal features.

9. The low-altitude aircraft situational awareness device based on converged communication according to claim 6, characterized in that, The power supply system includes: The dynamic load adjustment unit is used to adjust the power supply voltage and operating frequency of each functional module in real time according to the current workload. A low-power control unit is used to control at least some functional modules to enter a sleep mode when no valid signal is detected or the device is in standby mode. The fault diagnosis and isolation unit is used to monitor the current and voltage status of each functional module, cut off the power supply to the corresponding module and report the fault information when an abnormality is detected.

10. The low-altitude aircraft situational awareness device based on converged communication according to claim 6, characterized in that, The device adopts a modular architecture. The wide-spectrum detection system, signal monitoring and analysis system, location enhancement service system, data interaction system, communication system and power supply system are all independent pluggable standardized modules, which support flexible configuration and quick replacement on site as needed.

11. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the low-altitude aircraft situational awareness method based on fused communication as described in any one of claims 1 to 4.

12. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the low-altitude aircraft situational awareness method based on fused communication as described in any one of claims 1 to 4.

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