A dual-channel spectrum intelligent detection system

Abstract

The application discloses a kind of dual-channel spectrum intelligent detection systems, a kind of dual-channel spectrum intelligent detection systems, including dual-channel radio frequency synchronous acquisition module, signal pre-processing and branch module, wideband spectrum analysis module, narrowband accurate demodulation module, clutter intelligent filtering module, spectrum and protocol intelligent identification module, multi-modal data fusion module, machine learning iteration module, local storage and reporting module, man-machine interaction control module, dual-channel radio frequency synchronous acquisition module includes: the wideband fast scanning channel and the narrowband accurate demodulation channel of parallel arrangement, and two-way channel clock synchronization and all-pass passive acquisition radio frequency signal;The dual-channel spectrum intelligent detection system adopts dual-channel radio frequency synchronous dual-channel passive acquisition architecture, wideband channel completes 1MHz-6GHz full domain spectrum fast rough scanning, narrowband channel synchronously locks suspicious signal to complete accurate demodulation and protocol analysis, realizes full domain spectrum real-time monitoring, improves spectrum detection precision and response speed under complex electromagnetic environment.

Description

Technical Field

[0001] This invention relates to the field of low-altitude security detection technology, specifically to a dual-channel spectrum intelligent detection system. Background Technology

[0002] With the development of the low-altitude economy and the widespread use of wireless communication equipment, the electromagnetic environment in cities, industrial parks, airports, and other areas is becoming increasingly complex. WiFi, Bluetooth, base station, walkie-talkie, and various drone radio frequency signals are intertwined and superimposed. Traditional single-channel spectrum detection equipment struggles to balance scanning speed and identification accuracy, resulting in numerous technical shortcomings in low-altitude security drone detection and illegal radio signal investigation. Based on the current application status of spectrum detection equipment, the specific pain points are as follows: Single-channel architecture cannot balance scanning rate and signal analysis accuracy: Traditional single-channel spectrum detection equipment only supports a single working mode. It either adopts broadband full-domain fast scanning, which can only obtain rough information on spectrum power and frequency, and cannot complete signal demodulation and communication protocol analysis; or it switches to narrowband precise demodulation mode, which greatly reduces the scanning frequency range and creates spectrum monitoring blind spots, making it impossible to simultaneously meet the dual requirements of full-domain spectrum survey and in-depth analysis of suspicious signals.

[0003] Therefore, the present invention urgently needs to solve the problem of providing a dual-channel intelligent spectrum detection system that adopts a dual-channel radio frequency synchronous dual-path passive acquisition architecture during use, with the broadband channel completing a fast coarse scan of the entire spectrum from 1MHz to 6GHz, and the narrowband channel synchronously locking suspicious signals to complete accurate demodulation and protocol parsing, thereby realizing real-time monitoring of the entire spectrum and improving the accuracy and response speed of spectrum detection in complex electromagnetic environments. Summary of the Invention

[0004] To address the aforementioned technical problems, the purpose of this invention is to overcome the limitations of existing single-channel spectrum detection devices, which cannot simultaneously achieve rapid full-domain frequency scanning and accurate demodulation of suspicious signals. These devices suffer from a significantly reduced scanning frequency range, blind spots in spectrum monitoring, and an inability to simultaneously satisfy both full-domain spectrum surveys and in-depth analysis of suspicious signals. Therefore, this invention provides a dual-channel intelligent spectrum detection system that employs a dual-channel RF synchronous dual-path passive acquisition architecture. The broadband channel performs rapid coarse scanning of the 1MHz-6GHz full-domain spectrum, while the narrowband channel synchronously locks onto suspicious signals for accurate demodulation and protocol analysis, enabling real-time full-domain spectrum monitoring and improving the accuracy and response speed of spectrum detection in complex electromagnetic environments.

[0005] To achieve the above objectives, the present invention provides a dual-channel intelligent spectrum detection system, the system comprising: a dual-channel radio frequency synchronous acquisition module, a signal preprocessing and splitting module, a broadband spectrum analysis module, a narrowband precise demodulation module, a clutter intelligent filtering module, a spectrum and protocol intelligent identification module, a machine learning iteration module, a local storage and reporting module, and a human-computer interaction control module; The dual-channel RF synchronous acquisition module includes: a parallel broadband fast scanning channel and a narrowband precise demodulation channel, with both channels clocked synchronously and passively acquiring RF signals throughout; through dual-channel fast-slow coordination, it achieves simultaneous full-domain spectrum monitoring and precise identification of suspicious signals; wherein... The broadband fast scanning channel is used for rapid traversal scanning of the entire spectrum to capture abnormal spectrum signals; The narrowband precision demodulation channel is used to automatically and adaptively switch the narrowband receiving bandwidth according to the instruction issued by the broadband fast scanning channel, and to process the locked suspicious radio frequency signal and send it to the narrowband precision demodulation module, which then completes the precise demodulation of the suspicious signal at a fixed point. The signal preprocessing and splitting module is used for noise reduction, frequency conversion, and splitting transmission of two synchronous signals. The aforementioned intelligent noise filtering module is used to remove common electromagnetic noise in civilian use. The spectrum and protocol intelligent identification module is used to complete spectrum feature comparison and identification of the entire communication protocol of the UAV; The machine learning iteration module is used to achieve autonomous closed-loop updates of the spectrum feature library and protocol library.

[0006] Preferably, the dual-channel RF synchronous acquisition module is connected to the signal preprocessing and splitting module; the signal preprocessing and splitting module is connected to the broadband spectrum analysis module and the narrowband precise demodulation module respectively; the broadband spectrum analysis module and the narrowband precise demodulation module are jointly connected to the clutter intelligent filtering module; the clutter intelligent filtering module is sequentially connected to the spectrum and protocol intelligent identification module, the machine learning iteration module, and the local storage and reporting module; the human-machine interaction control module is electrically connected to all other modules respectively.

[0007] Preferably, the signal coverage frequency band of the dual-channel radio frequency synchronous acquisition module is 1MHz to 6GHz, covering 433MHz, 868MHz, 900MHz, 1.2GHz, 1.575GHz, 2.4GHz, 5.8GHz, GNSS navigation frequency bands, and 36kHz, 38kHz, 40kHz, and 56kHz infrared remote control carrier frequency bands; and both channels are equipped with independent low-noise amplification units, so they do not interfere with each other, the single full-domain broadband frequency sweep time is ≤20ms, and the minimum demodulation bandwidth of the narrowband channel is 25kHz.

[0008] Preferably, the narrowband precision demodulation module supports demodulation of all signal formats including FSK, ASK, 2FSK, 4FSK, 8PSK, BPSK, QPSK, 16QAM, 64QAM, and OFDM, and can extract multi-dimensional features such as signal frequency, bandwidth, power, pulse timing, frame structure, and radio frequency fingerprint.

[0009] Preferably, the spectrum and protocol intelligent identification module has a built-in library of three major categories of drone communication protocols, as well as a built-in drone signal blacklist and whitelist to distinguish between compliant drones and illegally intruding drones. The three major categories of drone communication protocol libraries include: Infrared remote control protocols include: NEC, RC5, RC6, SIRC, Sharp, Samsung, and LG; Radio frequency over-the-air wireless remote control protocols include: FlySky FHSS, Spektrum DSM2 / DSMX, FrSky D8 / D16, ELRS / CRSF, DJI DBUS, and JR DMSS; The wired link protocols for flight controllers include: PWM, PPM, SBUS, IBUS, CRSF, and MSP.

[0010] Preferably, the intelligent noise filtering module has a built-in library of urban normalized mobile communication, WiFi, and Bluetooth noise features, adopts a dual filtering algorithm of time domain + frequency domain, and supports dynamic adaptive adjustment of the background noise threshold in the electromagnetic environment, automatically adapting to background noise fluctuations in different scenarios.

[0011] Preferably, the workflow of the machine learning iteration module includes the following steps: Step 1: Receive unknown spectrum signals and unknown protocol signals that fail to be identified, and autonomously extract unique signal features through machine learning clustering algorithms; Step 2: Automatically input the newly added features into the local spectrum database and protocol database to complete the database's autonomous iterative upgrade without human intervention.

[0012] Preferably, the detection method of the dual-channel spectrum intelligent detection system includes the following steps: Step S1: The dual-channel RF synchronous acquisition module synchronously and passively acquires full-domain RF signals through two channels; Step S2: The signal preprocessing and splitting module completes the synchronous preprocessing and splitting output of the two signals; Step S3: The broadband spectrum analysis module performs a full-domain scan to search for abnormal spectrum signals and issues a frequency locking command; Step S4: The narrowband precision demodulation module locks the frequency at a fixed point to complete the fine demodulation of suspicious signals; Step S5: The intelligent noise filtering module removes civilian fixed noise and purifies the target signal; Step S6: The spectrum and protocol intelligent identification module completes spectrum matching and drone protocol identification, distinguishing between compliant and illegal signals; Step S7: The unknown signal is fed into the machine learning iteration module to complete the feature storage; Step S8: Alarm data is stored locally and reported remotely, and the dual-channel spectrum data is displayed in real time through the human-machine interface.

[0013] According to the above technical solution, the beneficial effects of the dual-channel spectrum intelligent detection system provided by the present invention in use are as follows: (1) Dual-channel parallel architecture, balancing frequency scanning speed and resolution accuracy: Unlike the traditional single-channel time-division working mode, the present invention uses broadband and narrowband dual-channel synchronous parallel operation, which can achieve millisecond-level full-domain spectrum rapid survey and complete the accurate demodulation of suspicious signals without delay, solving the industry pain points of traditional equipment fast scanning without resolution and fine scanning with blind spots.

[0014] (2) Dual anti-interference design to adapt to complex urban electromagnetic environment: Equipped with a dedicated clutter filtering module, combined with a dynamic noise floor adaptive algorithm, it effectively shields massive civilian communication clutter in the city, accurately extracts weak signals of low-power UAVs, and significantly reduces the false alarm rate and missed alarm rate of spectrum detection.

[0015] (3) Full protocol drone signal recognition and seamless linkage with the countermeasure system: Built-in communication protocol library with drone countermeasure equipment, which can accurately identify all consumer-grade, industrial-grade and modified drone remote control, image transmission and navigation signals on the market, support data communication between front-end and back-end detection and countermeasure equipment, and build a complete low-altitude security closed loop system.

[0016] (4) Machine learning autonomous iteration, long-term detection performance adaptive upgrade: No manual database maintenance is required. It can autonomously learn the characteristics of newly added clutter and new UAV signals in the field, and adapt to the constantly iteratively upgraded UAV communication system and dynamically changing electromagnetic environment.

[0017] (5) Fully passive silent detection with strong adaptability to all scenarios: The whole machine has no active radio frequency transmission circuit and is passively received throughout the process. It will not generate additional electromagnetic interference and can be safely deployed in various electromagnetically sensitive areas such as airports, radio observatories, and regulatory sites, making it applicable to a wider range of scenarios.

[0018] (6) Dual-channel data visualization makes operation and maintenance more convenient: The full-domain broadband spectrum and single-point narrowband demodulation waveform are displayed simultaneously, and operation and maintenance personnel can intuitively judge the abnormal signal type, interference source and UAV communication mode, which facilitates quick on-site troubleshooting and equipment debugging.

[0019] In summary, this invention employs a dual-path parallel passive acquisition architecture consisting of a broadband scanning channel and a narrowband demodulation channel. The broadband channel performs a rapid coarse scan of the entire spectrum from 1MHz to 6GHz, while the narrowband channel simultaneously locks onto suspicious signals to complete precise demodulation and protocol parsing. Combined with an intelligent clutter filtering module, a machine learning spectrum iteration module, and a full-protocol identification library for UAVs, it achieves real-time monitoring of the entire spectrum, automatic capture of suspicious signals, dynamic clutter filtering, accurate classification of UAV signals, and autonomous updating of the spectrum feature library. This improves the accuracy and response speed of spectrum detection in complex electromagnetic environments, operates entirely passively, and is suitable for electromagnetic monitoring in all scenarios.

[0020] Other features and advantages of the present invention will be described in detail in the following detailed description section; and all parts not covered in the present invention are the same as or can be implemented using the prior art. Attached Figure Description

[0021] The accompanying drawings are provided to further illustrate the invention and form part of the specification. They are used together with the following detailed description to explain the invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of the working process of a dual-channel spectrum intelligent detection system provided in a preferred embodiment of the present invention; Figure 2 This is a flowchart of a dual-channel spectrum intelligent detection method provided in a preferred embodiment of the present invention.

[0022] Explanation of reference numerals in the attached figures 1. Dual-channel RF synchronous acquisition module; 101. Wideband fast scanning channel; 102. Narrowband precise demodulation channel; 2. Signal preprocessing and splitting module; 3. Wideband spectrum analysis module; 4. Narrowband precise demodulation module; 5. Intelligent clutter filtering module; 6. Spectrum and protocol intelligent identification module; 7. Machine learning iteration module; 8. Local storage and reporting module; 9. Human-machine interaction control module. Detailed Implementation

[0023] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the present invention.

[0024] like Figure 1-2 As shown, the present invention provides a dual-channel spectrum intelligent detection system, the system comprising: a dual-channel radio frequency synchronous acquisition module 1, a signal preprocessing and splitting module 2, a broadband spectrum analysis module 3, a narrowband precise demodulation module 4, a clutter intelligent filtering module 5, a spectrum and protocol intelligent identification module 6, a machine learning iteration module 7, a local storage and reporting module 8, and a human-computer interaction control module 9; The dual-channel radio frequency synchronous acquisition module 1 includes: a wideband fast scanning channel 101 and a narrowband precise demodulation channel 102 arranged in parallel, with the two channels clocked synchronously and passively acquiring radio frequency signals throughout; through the coordination of fast and slow channels, full-domain spectrum monitoring and accurate identification of suspicious signals are achieved simultaneously; wherein, The broadband fast scanning channel 101 is used for fast traversal scanning of the entire spectrum to capture abnormal spectrum signals. The narrowband precision demodulation channel 102 is used to automatically and adaptively switch the narrowband receiving bandwidth according to the instruction issued by the broadband fast scanning channel 101, and send the locked suspicious radio frequency signal to the narrowband precision demodulation module 4 after processing, so that the narrowband precision demodulation module 4 can complete the precise demodulation of the suspicious signal at a fixed point. The signal preprocessing and splitting module 2 is used for noise reduction, frequency conversion, and splitting transmission of two synchronous signals. The intelligent noise filtering module 5 is used to remove common electromagnetic noise in civilian use; The spectrum and protocol intelligent identification module 6 is used to complete spectrum feature comparison and identification of the entire communication protocol of the UAV; The machine learning iteration module 7 is used to realize the autonomous closed-loop update of the spectrum feature library and the protocol library.

[0025] In a preferred embodiment of the present invention, the dual-channel radio frequency synchronous acquisition module 1 is connected to the signal preprocessing and splitting module 2; the signal preprocessing and splitting module 2 is respectively connected to the broadband spectrum analysis module 3 and the narrowband precise demodulation module 4; the broadband spectrum analysis module 3 and the narrowband precise demodulation module 4 are jointly connected to the clutter intelligent filtering module 5; the clutter intelligent filtering module 5 is sequentially connected to the spectrum and protocol intelligent identification module 6, the machine learning iteration module 7 and the local storage and reporting module 8; the human-machine interaction control module 9 is electrically connected to all other modules.

[0026] In the above scheme, the dual-channel radio frequency synchronous acquisition module 1 is the core hardware unit of this system. It integrates two independent radio frequency receiving antennas and independent low-noise amplifier circuits, and is divided into a broadband fast scanning channel 101 and a narrowband precise demodulation channel 102. The two channels are clock-synchronized and timing-aligned to achieve synchronous parallel acquisition of radio frequency signals in the same space. The coverage frequency band is 1MHz to 6GHz, which fully covers the 433MHz, 868MHz, 900MHz, 1.2GHz, 1.575GHz, 2.4GHz, and 5.8GHz frequency bands of UAVs and the full frequency band of GNSS navigation. It is also compatible with 36kHz-56kHz infrared remote control carrier signals. Both channels adopt a passive receiving architecture and do not actively emit electromagnetic waves, making them suitable for deployment in electromagnetically sensitive areas such as airports, observatories, and radar stations.

[0027] The broadband fast scanning channel 101 is responsible for fast traversal scanning of the entire spectrum. The single full-domain frequency scan time is ≤20ms. It quickly captures all jump spectrum signals in the space and outputs the original full-domain spectrum waveform data, realizing a fast full-domain survey of controlled airspace and linear protection areas. The narrowband precision demodulation channel 102 can automatically and adaptively switch the narrowband receiving bandwidth according to the suspicious signal frequency points sent by the broadband fast scanning channel 101. The minimum demodulation bandwidth can reach 25kHz. It performs fine sampling on the locked suspicious radio frequency signals, retains the complete signal timing, frame structure and modulation characteristics, and sends the collected radio frequency signals to the narrowband precision demodulation module 4. The narrowband precision demodulation module 4 combines CRPC protocol reverse analysis technology to complete the deep analysis of the communication protocol, meeting the requirements of accurate identification of UAVs.

[0028] Signal preprocessing and splitting module 2 receives the synchronously acquired RF signals from both channels and performs unified pre-filtering, amplification, down-conversion, and analog-to-digital conversion to eliminate amplitude and phase errors between the two channels. Then, it splits the signals according to the channel attributes, transmits the full-domain coarse-scan spectrum data to the broadband spectrum analysis module 3, and transmits the fixed-point refined RF signal to the narrowband precision demodulation module 4 to ensure that the timing of the two signals is completely synchronized, avoids spectrum data misalignment, and provides accurate raw data for subsequent data fusion and feature comparison.

[0029] The broadband spectrum analysis module 3 receives the preprocessed full-domain spectrum data from the broadband channel and performs spectrum power statistics, peak retrieval, spectrum trend analysis, and signal jump capture. It also draws a full-domain spectrum waterfall plot in real time, marking abnormal spectrum frequencies, signal bandwidth, and signal power that exceed the noise floor threshold. Combined with scenario-differentiated detection strategies, it adaptively adjusts the abnormal signal judgment threshold for different protection areas and sends the coordinates, frequency points, and bandwidth information of all marked suspicious signals to the narrowband precision demodulation module 4 in real time, completing the fast and slow channel linkage triggering.

[0030] The narrowband precision demodulation module 4 receives suspicious signal parameters from the broadband spectrum analysis module 3, quickly locks the frequency to the target frequency, and completes multi-mode signal demodulation. It supports the analysis of all mainstream modulation methods, including FSK, ASK, 2FSK, 4FSK, 8PSK, BPSK, QPSK, 16QAM, 64QAM, and OFDM. It extracts fine features such as signal pulse timing, frame format, carrier frequency, and RF fingerprint, providing underlying data support for subsequent UAV communication protocol identification.

[0031] The intelligent clutter filtering module 5 has a built-in library of normalized urban electromagnetic clutter features, including the spectrum features of civilian fixed clutter such as mobile communication, WiFi, Bluetooth, and walkie-talkies. It adopts a dual filtering algorithm of time domain and frequency domain to automatically remove known fixed civilian clutter and retain sudden, abrupt, and non-standard suspicious wireless signals. At the same time, it dynamically adapts the noise floor threshold according to the on-site electromagnetic environment to avoid false alarms caused by noise floor fluctuations and enhance the ability to extract weak UAV signals.

[0032] The spectrum and protocol intelligent identification module 6 has a built-in database of three major categories of communication protocols for UAVs, which is fully compatible with the UAV countermeasure system protocol library mentioned above, including: infrared remote control protocol, radio frequency air wireless remote control protocol, and receiver to flight controller wired link protocol. After receiving the filtered clean signal characteristics, it performs spectrum feature matching to determine the signal frequency band, power, and frequency hopping pattern; it also performs accurate identification of communication protocols to match the drone brand, model, and remote control type; at the same time, it has a built-in blacklist and whitelist mechanism to automatically filter compliant drone signals and only mark illegal black-flying and modified drone signals.

[0033] The machine learning iteration module 7 forms a closed-loop iteration link with the spectrum feature library and the UAV protocol library; for unknown spectrum signals that fail to match and private protocol signals of newly modified UAVs, it autonomously extracts unique features of the signals through machine learning clustering algorithms; newly added clutter features and newly added UAV protocol features are automatically entered into the local database without manual updates, enabling the equipment to adapt to complex electromagnetic environments for a long time and continuously reduce the probability of false alarms and missed alarms.

[0034] The local storage and reporting module 8 can store the full-domain spectrum log, abnormal signal capture images, drone protocol identification records, and device operating parameters locally in real time; it supports local historical spectrum backtracking and event review; it also supports wireless linkage reporting via network port and serial port, and can synchronously upload abnormal spectrum information and illegal drone alarm data to the backend security management platform to realize multi-device network linkage monitoring.

[0035] The human-computer interaction control module 9 provides a local touch interface and a remote background control interface, supporting dual-channel parameter configuration, frequency sweep cycle setting, noise floor threshold adjustment, blacklist and whitelist management, real-time display of spectrum waveforms, and alarm pop-up prompts; it can also view the broadband full-domain spectrum diagram and the narrowband fine demodulation waveform diagram separately, intuitively displaying the entire dual-channel detection process.

[0036] The three main categories of communication protocol libraries for drones include: Infrared remote control protocols include: NEC, RC5, RC6, SIRC, Sharp, Samsung, and LG; Radio frequency over-the-air wireless remote control protocols include: FlySky FHSS, Spektrum DSM2 / DSMX, FrSky D8 / D16, ELRS / CRSF, DJI DBUS, and JR DMSS; The wired link protocols for flight controllers include: PWM, PPM, SBUS, IBUS, CRSF, and MSP.

[0037] In a preferred embodiment of the present invention, the detection method of the dual-channel spectrum intelligent detection system includes the following steps: Step S1: The dual-channel RF synchronous acquisition module 1 synchronously and passively acquires full-domain RF signals through two channels; Step S2: Signal preprocessing and splitting module 2 completes synchronous preprocessing and splitting output of the two signals; Step S3: The broadband spectrum analysis module 3 performs a full-domain scan to search for abnormal spectrum signals and issues a frequency locking command; Step S4: Narrowband precision demodulation module 4 locks in frequency at a fixed point to complete the fine demodulation of suspicious signals; Step S5: The intelligent noise filtering module 5 removes civilian fixed noise and purifies the target signal; Step S6: The spectrum and protocol intelligent identification module 6 completes spectrum matching and drone protocol identification, distinguishing between compliant and illegal signals; Step S7: The unknown signal is sent to the machine learning iteration module 7 to complete the feature storage; Step S8: Alarm data is stored locally and reported remotely, and the dual-channel spectrum data is displayed in real time through the human-machine interface.

[0038] Application Scenario 1 A dual-channel spectrum intelligent detection system is deployed in the airport's airspace protection zone to perform all-weather passive spectrum monitoring and illegal drone early warning: 1. The dual-channel radio frequency synchronous acquisition module 1 operates in passive mode throughout the entire process. The broadband fast scanning channel 101 completes a full-domain frequency sweep of 1MHz-6GHz every 20ms, focusing on monitoring the spectrum fluctuations of the 2.4GHz, 5.8GHz, and GNSS navigation frequency bands; 2. When the broadband fast scanning channel 101 captures a sudden frequency jump signal that is not a civil aviation standard, it immediately issues a frequency point command, and the narrowband precision demodulation channel 102 quickly locks the frequency to complete the fine demodulation of the signal; 3. The intelligent clutter filtering module 5 automatically filters out inherent clutter from airport civil aviation communications and radar, while retaining incoming suspicious drone signals; 4. The spectrum and protocol intelligent identification module 6 compares mainstream drone protocols such as DBUS, ELRS, and SBUS to distinguish between civil aviation compliant inspection drones and illegal drones flying outside the region. 5. Illegal drone signals are uploaded to the airport security platform in real time, and signals from unknown new types of drones are automatically sent to the machine learning iteration module 7 to complete feature storage; 6. The entire machine emits no radio frequency signals throughout the entire process, which will not interfere with the operation of the airport's existing precision electromagnetic equipment and meets the airport's stringent electromagnetic environment requirements.

[0039] Application Scenario 2 The system is deployed in areas with complex electromagnetic environments, such as urban business districts and government service centers. 1. Broadband fast scanning channel 101 continuously scans the entire area, monitoring dense WiFi, Bluetooth, and mobile communication noise in urban areas in real time; 2. The noise filtering module 5 automatically blocks normal civilian fixed spectrum signals and accurately captures sudden intrusion of drone remote control and image transmission signals; 3. Narrowband precision demodulation module 4 performs protocol analysis on suspicious signals, identifying protocols such as FHSS, D8 / D16, and CRSF for racing drones and consumer drones; 4. The blacklist and whitelist automatically allow compliant aerial photography and inspection drones, and only generate local pop-up alarms and backend reports for illegally intruding drones; 5. Continuously learn the characteristics of newly added electromagnetic clutter in urban areas, dynamically optimize the filtering threshold, and maintain a low false alarm rate during long-term operation.

[0040] Application Scenario 3 The system is deployed in the perimeter protection areas of prisons and nuclear facilities: 1. Increase the detection sensitivity of the dual-channel low-frequency band, with a focus on strengthening the monitoring of modified UAV signals at low frequencies of 433MHz, 868MHz, and 900MHz; 2. The broadband fast scanning channel 101 quickly captures abnormal spectrum peaks in the low-frequency band, while the narrowband precise demodulation channel 102 specifically demodulates the private protocol signals of non-standard modified UAVs. 3. Timely detection of modified unauthorized drones that alter radio frequency parameters or customize communication protocols, thus overcoming the low-frequency detection limitations of traditional single-channel equipment; 4. Alarm information is linked to external security equipment in real time, providing early warning of the risk of illegal drone intrusion.

[0041] In summary, the dual-channel intelligent spectrum detection system provided by this invention overcomes the problems of existing single-channel spectrum detection devices, which cannot simultaneously achieve rapid full-domain frequency scanning and accurate demodulation of suspicious signals, have a significantly reduced scanning frequency range, have blind spots in spectrum monitoring, and cannot simultaneously meet the requirements of full-domain spectrum survey and in-depth analysis of suspicious signals.

[0042] The preferred embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited to the specific details of the above embodiments. Within the scope of the technical concept of the present invention, various simple modifications can be made to the technical solution of the present invention, and these simple modifications all fall within the protection scope of the present invention.

[0043] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the present invention will not describe the various possible combinations separately.

[0044] Furthermore, various different embodiments of the present invention can be combined in any way, as long as they do not violate the spirit of the present invention, they should also be regarded as the content disclosed by the present invention.

Claims

1. A dual-channel spectrum intelligent detection system, characterized in that, The system includes: a dual-channel radio frequency synchronous acquisition module (1), a signal preprocessing and splitting module (2), a broadband spectrum analysis module (3), a narrowband precise demodulation module (4), a clutter intelligent filtering module (5), a spectrum and protocol intelligent identification module (6), a machine learning iteration module (7), a local storage and reporting module (8), and a human-computer interaction control module (9). The dual-channel radio frequency synchronous acquisition module (1) includes: a broadband fast scanning channel (101) and a narrowband precise demodulation channel (102) arranged in parallel, and the two channels are clocked synchronously and acquire radio frequency signals passively throughout the process; through the fast and slow coordination of the dual channels, full-domain spectrum monitoring and accurate identification of suspicious signals are carried out simultaneously; wherein, The broadband fast scanning channel (101) is used for fast traversal scanning of the entire spectrum to capture abnormal spectrum signals; The narrowband precision demodulation channel (102) is used to automatically and adaptively switch the narrowband receiving bandwidth according to the instruction issued by the wideband fast scanning channel (101), and send the locked suspicious radio frequency signal to the narrowband precision demodulation module (4) after processing, so that the narrowband precision demodulation module (4) can complete the precise demodulation of the suspicious signal at a fixed point. The signal preprocessing and splitting module (2) is used for noise reduction, frequency conversion, and splitting transmission of two synchronous signals; The intelligent noise filtering module (5) is used to remove common electromagnetic noise in civilian use. The spectrum and protocol intelligent identification module (6) is used to complete spectrum feature comparison and identification of the entire communication protocol of the UAV; The machine learning iteration module (7) is used to realize the autonomous closed-loop update of the spectrum feature library and the protocol library.

2. The dual-channel spectrum intelligent detection system according to claim 1, characterized in that, The dual-channel radio frequency synchronous acquisition module (1) is connected to the signal preprocessing and splitting module (2); the signal preprocessing and splitting module (2) is connected to the broadband spectrum analysis module (3) and the narrowband precise demodulation module (4) respectively; the broadband spectrum analysis module (3) and the narrowband precise demodulation module (4) are connected to the clutter intelligent filtering module (5); the clutter intelligent filtering module (5) is connected in sequence to the spectrum and protocol intelligent identification module (6), the machine learning iteration module (7) and the local storage and reporting module (8); the human-computer interaction control module (9) is electrically connected to all other modules respectively.

3. The dual-channel spectrum intelligent detection system according to claim 2, characterized in that, The dual-channel radio frequency synchronous acquisition module (1) has a signal coverage frequency band of 1MHz to 6GHz, covering 433MHz, 868MHz, 900MHz, 1.2GHz, 1.575GHz, 2.4GHz, 5.8GHz, GNSS navigation frequency bands, and 36kHz, 38kHz, 40kHz, and 56kHz infrared remote control carrier frequency bands; and both channels are equipped with independent low-noise amplification units, which do not interfere with each other, with a single full-domain broadband frequency sweep time ≤20ms, and the minimum demodulation bandwidth of the narrowband channel is 25kHz.

4. The dual-channel spectrum intelligent detection system according to claim 3, characterized in that, The narrowband precision demodulation module (4) supports demodulation of all signal types including FSK, ASK, 2FSK, 4FSK, 8PSK, BPSK, QPSK, 16QAM, 64QAM, and OFDM, and can extract multi-dimensional features such as signal frequency, bandwidth, power, pulse timing, frame structure, and radio frequency fingerprint.

5. The dual-channel spectrum intelligent detection system according to claim 4, characterized in that, The spectrum and protocol intelligent identification module (6) has a built-in library of three major categories of UAV communication protocols, as well as a built-in UAV signal blacklist and whitelist to distinguish between compliant UAVs and illegally intruding UAVs; the three major categories of UAV communication protocol libraries include: Infrared remote control protocols include: NEC, RC5, RC6, SIRC, Sharp, Samsung, and LG; Radio frequency over-the-air wireless remote control protocols include: FlySky FHSS, Spektrum DSM2 / DSMX, FrSky D8 / D16, ELRS / CRSF, DJI DBUS, and JR DMSS; The wired link protocols for flight controllers include: PWM, PPM, SBUS, IBUS, CRSF, and MSP.

6. The dual-channel spectrum intelligent detection system according to claim 5, characterized in that, The intelligent noise filtering module (5) has a built-in library of urban normal mobile communication, WiFi and Bluetooth noise features, adopts a dual filtering algorithm of time domain + frequency domain, and supports dynamic adaptive noise threshold adjustment in electromagnetic environment to automatically adapt to noise fluctuations in different scenarios.

7. The dual-channel spectrum intelligent detection system according to claim 6, characterized in that, The workflow of the machine learning iteration module (7) includes the following steps: Step 1: Receive unknown spectrum signals and unknown protocol signals that fail to be identified, and autonomously extract unique signal features through machine learning clustering algorithms; Step 2: Automatically input the newly added features into the local spectrum database and protocol database to complete the database's autonomous iterative upgrade without human intervention.

8. The detection method of the dual-channel spectrum intelligent detection system according to any one of claims 1-7 includes the following steps: Step S1: Dual-channel RF synchronous acquisition module (1) Simultaneous passive acquisition of full-domain RF signals through two channels; Step S2: The signal preprocessing and splitting module (2) completes the synchronous preprocessing and splitting output of the two signals; Step S3: The broadband spectrum analysis module (3) performs a full-domain scan to search for abnormal spectrum signals and issues a frequency locking command; Step S4: Narrowband precision demodulation module (4) fixes the frequency and completes the fine demodulation of suspicious signals; Step S5: The intelligent noise filtering module (5) removes civilian fixed noise and purifies the target signal; Step S6: The spectrum and protocol intelligent identification module (6) completes spectrum matching and UAV protocol identification, distinguishing between compliant and illegal signals; Step S7: The unknown signal is sent to the machine learning iteration module (7) to complete the feature storage; Step S8: Alarm data is stored locally and reported remotely, and the dual-channel spectrum data is displayed in real time through the human-machine interface.

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