Unmanned aerial vehicle radio communication frequency band countering method for automatic frequency identification and frequency writing

Abstract

The invention discloses an unmanned aerial vehicle radio communication frequency band countering method for automatic frequency identification and frequency writing, and relates to the technical field of unmanned aerial vehicle interference, and the method comprises a frequency band identification module which is used for scanning a 300MHz-6GHz frequency band in real time and identifying an enemy unmanned aerial vehicle communication signal; the signal analysis module is connected with the frequency band identification module, comprises a digital signal processor and an FPGA (Field Programmable Gate Array), and is used for analyzing signal modulation types and spectrum characteristics; the automatic frequency writing module is used for adjusting an interference frequency band through a direct digital frequency synthesis technology according to an analysis result; the multi-frequency-band interference transmitter supports synchronous interference in frequency bands of 1.2 GHz, 2.4 GHz, 5.2 GHz and 5.8 GHz; the intelligent control terminal integrates an adaptive interference algorithm, and the response time is less than or equal to 1 second. According to the unmanned aerial vehicle radio communication frequency band countering method capable of automatically identifying and writing the frequency, the radio communication frequency band used by the enemy unmanned aerial vehicle is automatically identified, and the corresponding frequency band is written in real time for accurate interference, so that the interference effect of an interference system facing the enemy unmanned aerial vehicle is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of UAV interference, and specifically provides an anti-jamming method for UAV radio communication frequency bands with automatic frequency identification and frequency writing. Background Art

[0002] Currently, existing UAV jamming systems usually interfere by manually selecting frequency bands or using fixed frequency bands. This method lacks flexibility and adaptability. When facing enemy UAVs, the existing technology cannot detect and adjust the interference frequency band in real time automatically, resulting in poor interference effects and even being unable to effectively counter enemy UAVs with changing frequency bands. The detection and jamming systems in the existing technology generally only support preset frequency bands and cannot be dynamically adjusted according to the actually detected enemy frequency bands, which greatly limits the application of the system in complex environments. Summary of the Invention

[0003] The purpose of the present invention is to provide an anti-jamming method for UAV radio communication frequency bands with automatic frequency identification and frequency writing to solve the problems raised in the above background art.

[0004] To achieve the above purpose, the present invention provides the following technical solutions: An anti-jamming method for UAV radio communication frequency bands with automatic frequency identification and frequency writing, including:

[0005] A frequency band identification module for scanning the 300 MHz - 6 GHz frequency band in real time and identifying enemy UAV communication signals;

[0006] A signal analysis module connected to the frequency band identification module, including a digital signal processor and an FPGA, for analyzing the signal modulation type and spectral characteristics;

[0007] An automatic frequency writing module for adjusting the interference frequency band through direct digital frequency synthesis technology according to the analysis results;

[0008] A multi-band interference transmitter supporting synchronous interference in the 1.2 GHz, 2.4 GHz, 5.2 GHz, and 5.8 GHz frequency bands;

[0009] An intelligent control terminal integrated with an adaptive interference algorithm, with a response time ≤ 1 second.

[0010] Further, the frequency band identification module includes:

[0011] A broadband receiving antenna with a frequency range of 300 MHz - 6 GHz;

[0012] A superheterodyne receiver with an intermediate frequency bandwidth of ±10 MHz;

[0013] A fast Fourier transform unit with a resolution of 1 kHz.

[0014] Further, the signal analysis module adopts:

[0015] Modulation recognition algorithm

[0016] Signal classification neural network, and the training data set contains 20 kinds of UAV signal features

[0017] Real-time spectrum analysis, with a refresh rate of 100 times per second

[0018] Furthermore, the automatic frequency writing module includes

[0019] DDS frequency synthesizer, with a tuning step of 1 Hz

[0020] Digital pre-distortion correction circuit, with harmonic suppression > 40 dBc

[0021] Temperature compensation oscillator, with a stability of ±1 ppm

[0022] Furthermore, the multi-band interference transmitter includes

[0023] 3 independent RF channels, with a maximum output power of 50 W

[0024] Adaptive power control, with a dynamic range of 30 dB

[0025] Beamforming antenna array, with an azimuth coverage of 360°

[0026] Furthermore, it includes the steps of

[0027] S1. Real-time scan the radio spectrum and detect the frequency points where the signal strength exceeds -90 dBm

[0028] S2. Extract signal characteristic parameters, including carrier frequency, bandwidth, and modulation type

[0029] S3. Match the pre-stored UAV signal feature library, and set the confidence threshold to 85%

[0030] S4. Automatically configure interference parameters, including frequency offset, interference waveform, and transmit power

[0031] S5. Start multi-band collaborative interference, and the hold time is adjustable in the range of 1 - 60 seconds

[0032] Furthermore, in step S2, the following are adopted: high-order cumulant feature extraction algorithm; support vector machine classifier; real-time feature database update mechanism

[0033] Furthermore, step S4 includes: adaptive frequency offset compensation, with a compensation range of ±500 kHz; interference waveform library, including 8 interference patterns such as noise and frequency sweep; power allocation algorithm to optimize the multi-target interference efficiency

[0034] The present invention provides a method for countering the radio communication frequency band of unmanned aerial vehicles with automatic frequency identification and frequency writing, which has the following beneficial effects: By automatically identifying the radio communication frequency band used by enemy unmanned aerial vehicles and writing the corresponding frequency band in real time for precise interference, the interference effect of the interference system against enemy unmanned aerial vehicles is improved, and the application ability of the system in complex environments is enhanced. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a flowchart of the working process of a method for countering the radio communication frequency band of unmanned aerial vehicles with automatic frequency identification and frequency writing according to the present invention;

[0036] Figure 2 It is a block diagram of a radio detection and countermeasure system for a method for countering the radio communication frequency band of unmanned aerial vehicles with automatic frequency identification and frequency writing according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0037] The following further describes in detail the embodiments of the present invention in conjunction with the drawings. The following embodiments are used to illustrate the present invention, but cannot be used to limit the scope of the present invention.

[0038] As Figures 1 to 2 shown, a method for countering the radio communication frequency band of unmanned aerial vehicles with automatic frequency identification and frequency writing, the countermeasure system mainly consists of the following core modules:

[0039] Frequency band identification module:

[0040] This module uses wide-spectrum scanning technology to detect radio signals in the air in real time, identify the communication frequency band of enemy unmanned aerial vehicles, and the identification process automatically filters out the signal frequency band of enemy unmanned aerial vehicles through high-precision spectrum analysis in combination with information such as signal strength and modulation method.

[0041] The function of this module is to obtain and confirm the communication frequency band of enemy unmanned aerial vehicles in real time, and prepare for subsequent frequency band writing.

[0042] Signal analysis and classification module:

[0043] After the frequency band is identified, this module analyzes the collected signals, further distinguishes different types of radio signals such as FPV video transmission, digital video transmission, and message communication, and identifies their modulation methods (such as FSK, PSK, etc.). Through signal classification, the system can accurately identify different types of communication signals so as to take targeted interference measures. The function of this module is to ensure that the identified signals can be accurately distinguished so as to select the most suitable interference strategy and frequency band.

[0044] Automatic frequency band writing module:

[0045] This module automatically tunes the jamming device to the corresponding frequency band based on the identified enemy communication frequency band. The frequency band writing process is fully automatic and relies on real-time identification data and the system's built-in frequency band library. By automatically adjusting the jamming frequency band to the enemy communication frequency band, it can achieve precise frequency band countermeasures and improve the countermeasure effect and timeliness.

[0046] Interference signal transmission module:

[0047] Once the frequency band is written, the interference signal transmission module immediately transmits the interference signal to the target frequency band. The transmission module supports simultaneous transmission of multiple frequency bands and can accurately interfere with different types of signals. The task of this module is to send counter-interference signals according to the written frequency band to interrupt the radio communication of the enemy drone in time.

[0048] The present invention adopts advanced spectrum analysis technology, and through multi-spectrum scanning and analysis, it can accurately identify the frequency bands used by enemy drones. This technology relies on signal strength, spectrum characteristics and modulation methods for comprehensive judgment, and combines algorithm processing to screen out the frequency bands that are most likely to be drone communications. It combines spectrum scanning with signal analysis to quickly and accurately identify the type of communication frequency band, thereby ensuring the accuracy and effectiveness of the interference frequency band.

[0049] The system has a built-in intelligent frequency band adjustment module. After identifying the enemy frequency band, it automatically adjusts the transmission frequency band of the jammer to ensure that the radio communication of the enemy UAV can be countered in real time and accurately. Through the automated frequency band recognition and writing mechanism, combined with the data from the spectrum recognition module, it automatically selects the most suitable jamming frequency band for interference, avoiding the timeliness and flexibility issues caused by manual jamming settings.

[0050] The present invention supports the function of simultaneous multi-band interference, and can transmit interference signals of different waveforms according to the different communication frequency band types of the enemy to achieve targeted countermeasures. The system can select different frequency bands for interference through the built-in frequency band library, and can also automatically adjust according to the enemy frequency band detected in real time.

[0051] Through the combination of wideband scanning and intelligent algorithms, the jammer module can dynamically emit jammer signals targeting different signal types, ensuring the accuracy and breadth of countermeasures.

[0052] Frequency band detection: The system automatically starts spectrum scanning, analyzes received radio signals in real time, and identifies the communication frequency bands of enemy drones.

[0053] Signal analysis: Classify and analyze the identified signals to determine whether they are the communication frequency bands used by enemy drones.

[0054] Automatic frequency band writing: Once the enemy frequency band is confirmed, the system automatically adjusts the jammer frequency band to the enemy communication frequency band and prepares for jamming.

[0055] Interference signal emission: The system emits interference signals in the corresponding frequency band to interfere with the communication of enemy drones and prevent them from continuing to operate.

[0056] Automatic countermeasure application in individual combat scenarios: In military exercises or special security tasks, individuals need to have flexible and automatic drone countermeasure capabilities. Therefore, this individual drone automatic countermeasure system is deployed.

[0057] Equipment selection:

[0058] Frequency band identification: The frequency coverage is 300 MHz - 6 GHz, and it can quickly identify drone signals in a complex electromagnetic environment.

[0059] Signal analysis: With the help of the control terminal, quickly distinguish different types of drone signals and frequency band ranges.

[0060] Frequency band writing: According to the monitored frequency band information, complete the adjustment of the frequency band of the transmitting device within 1 second.

[0061] Interference emission: An automatic interference emission device equipped with a 360-degree omnidirectional countermeasure antenna to ensure that the interference signal accurately covers the target.

[0062] Operation process: When a soldier is on a mission, turn on the radio detection module to continuously scan the surrounding airspace. When a frequency band signal suspected of being a drone is captured, the detector quickly analyzes the preliminary frequency band range of the signal;

[0063] The radio detection module transmits the data to the radio countermeasure device in real time. The running AutoAnalyze software uses the built-in model and the computing power of the edge server, combines with the common drone signal feature library, accurately locates the drone model and communication frequency band to which the signal belongs. The countermeasure module immediately automatically interferes with the transmission frequency of the emission device. At the same time, the intelligent antenna of the emission device locks the position of the drone through the built-in azimuth perception system and automatically rotates to the best emission angle.

[0064] The emission device does not require manual operation by the soldier and automatically emits interference signals to the target frequency band to block the drone communication link.

[0065] In multiple simulated military exercise scenarios, when an individual uses this automatic countermeasure system, the average time from detecting a drone to implementing effective interference is within 5 seconds. In a complex electromagnetic environment, the successful interference rate is as high as 92%, effectively guaranteeing the operational safety of the individual and the squad. Compared with traditional manually intervened countermeasure equipment, this system greatly improves the reaction speed and combat flexibility, and significantly enhances the individual's ability to cope with drone threats.

[0066] The embodiments of the present invention are given for purposes of illustration and description, and are not exhaustive or limit the invention to the disclosed forms. Many modifications and variations are obvious to those of ordinary skill in the art. The embodiments are chosen and described in order to best explain the principles of the invention and its practical application, and to enable those of ordinary skill in the art to understand the invention and design various embodiments with various modifications suitable for a particular purpose.

Claims

1. An anti-jamming method for the radio communication frequency band of an unmanned aerial vehicle with automatic frequency identification and frequency writing, characterized in that, Including: A frequency band identification module, which is used to scan the 300MHz - 6GHz frequency band in real time and identify enemy UAV communication signals; A signal analysis module, connected to the frequency band identification module, including a digital signal processor and an FPGA, which is used to analyze the signal modulation type and spectral characteristics; An automatic frequency writing module, which adjusts the interference frequency band through direct digital frequency synthesis technology according to the analysis result; A multi-band interference transmitter, which supports synchronous interference in the 1.2GHz, 2.4GHz, 5.2GHz and 5.8GHz frequency bands; An intelligent control terminal, integrated with an adaptive interference algorithm, and the response time ≤ 1 second.

2. The anti-jamming method for the UAV radio communication frequency band of automatic frequency recognition and frequency writing according to claim 1, wherein, The frequency band identification module includes: A broadband receiving antenna with a frequency range of 300MHz - 6GHz; A superheterodyne receiver with an intermediate frequency bandwidth of ±10MHz; A fast Fourier transform unit with a resolution of 1kHz.

3. The anti-jamming method for the UAV radio communication frequency band of automatic frequency recognition and frequency writing according to claim 2, wherein The signal analysis module adopts: A modulation identification algorithm; A signal classification neural network, and the training data set includes 20 types of UAV signal characteristics; Real-time spectrum analysis with a refresh rate of 100 times per second.

4. An anti-jamming method for the radio communication frequency band of an unmanned aerial vehicle with automatic frequency identification and frequency writing according to claim 3, characterized in that, The automatic frequency writing module includes: A DDS frequency synthesizer with a tuning step of 1Hz; A digital pre-distortion correction circuit with a harmonic suppression > 40dBc; A temperature compensation oscillator with a stability of ±1ppm.

5. The anti-jamming method for the UAV radio communication frequency band of automatic frequency recognition and frequency writing according to claim 4, characterized in that, The multi-band interference transmitter includes: 3 independent RF channels with a maximum output power of 50W; Adaptive power control with a dynamic range of 30dB; A beamforming antenna array with an azimuth coverage of 360°.

6. The anti-jamming method for the radio communication frequency band of an unmanned aerial vehicle with automatic frequency recognition and frequency writing according to claim 5, characterized in that, Including the steps: S1. Scan the radio spectrum in real time and detect the frequency points where the signal strength exceeds -90dBm; S2. Extract signal characteristic parameters, including carrier frequency, bandwidth and modulation type; S3. Match the pre-stored UAV signal characteristic library, and set the confidence threshold to 85%; S4. Automatically configure interference parameters, including frequency offset, interference waveform and transmission power; S5. Start multi-band cooperative interference, and the adjustable range of the holding time is 1 - 60 seconds.

7. An anti-jamming method for the radio communication frequency band of an unmanned aerial vehicle with automatic frequency recognition and frequency writing according to claim 6, characterized in that In step S2, the following are adopted: a high-order cumulant feature extraction algorithm; a support vector machine classifier; A real-time feature database update mechanism.

8. An anti-jamming method for the radio communication frequency band of an unmanned aerial vehicle with automatic frequency identification and frequency writing according to claim 7, characterized in that Step S4 includes: adaptive frequency offset compensation with a compensation range of ±500kHz; an interference waveform library containing 8 interference patterns such as noise and frequency sweep; a power allocation algorithm to optimize the multi-target interference efficiency.

Images