Non-standard electromagnetic target detection and smart interference integrated system based on ZYNQ architecture

Abstract

The invention discloses a non-standard electromagnetic target detection and smart interference integrated system based on a ZYNQ architecture in the technical field of electronic countermeasure and communication systems, and the system comprises an antenna unit which is used for receiving and transmitting electromagnetic signals of a wide frequency band; the gain module is used for amplifying the received and transmitted signals and improving the signal quality and the detection sensitivity; the radio frequency front end is used for completing up-down frequency conversion and analog-to-digital conversion of signals and transmitting and receiving operation of radio frequency signals and providing necessary signal conversion and processing functions for the system; the PC end is used for issuing a control instruction and adjusting the gain of the system so as to realize amplification and flexible adjustment of the signal; the FPGA signal processing unit is used for completing signal generation, receiving and processing and subsequent signal analysis and interference algorithm execution based on an FPGA platform, the detection precision and the processing speed of the system are remarkably improved, a non-standard electromagnetic target in a complex electromagnetic environment can be efficiently recognized and dealt with, and interference response is flexibly carried out.

Description

Technical Field

[0001] The present invention relates to the technical field of electronic countermeasure and communication systems, and particularly to a non-standard electromagnetic target detection and interference integrated system. Background Art

[0002] The existing technologies mainly focus on the fields of electromagnetic target detection and interference. However, when facing the detection of non-standard electromagnetic targets (such as non-standard power, frequency band, and energy), certain challenges still exist. Traditional signal processing techniques, such as Fast Fourier Transform (FFT), time-frequency analysis, and matched filtering, are widely used in electromagnetic target detection. However, these methods usually assume that the target signal has standard frequency band and power characteristics. Therefore, when facing non-standard signals, it is difficult for the existing methods to achieve efficient and accurate detection and recognition. Especially in complex electromagnetic environments, the accuracy and real-time performance of traditional methods are still insufficient. The current electromagnetic spectrum monitoring systems can provide wide-band receivers to monitor the power distribution of signals, but their ability to identify non-standard frequency band signals is weak, and they lack adaptability to complex electromagnetic targets. In addition, the existing electronic countermeasure technologies usually rely on preset signal characteristics for interference and lack the flexible response ability to non-standard electromagnetic targets with rapid dynamic changes. Therefore, they cannot quickly adapt and conduct effective interference. With the continuous development of FPGA technology, some electromagnetic target detection systems have begun to use FPGA for real-time signal processing, improving the processing efficiency. However, when facing complex electromagnetic environments and non-standard electromagnetic targets, these systems still have certain limitations, especially in terms of accuracy and real-time performance, which have not met the requirements of efficient and accurate detection. Therefore, the real-time detection and agile interference of non-standard electromagnetic targets are still the difficulties in the current technology, and new solutions are urgently needed to break through these bottlenecks.

[0003] To meet this demand, the present invention proposes a non-standard electromagnetic target detection and agile interference integrated device based on the ZYNQ architecture. Combining the high-efficiency signal processing ability of the ZYNQ platform, this device can detect and identify non-standard electromagnetic targets in real time in complex electromagnetic environments and provide targeted interference responses through a flexible interference mechanism, breaking through the bottlenecks of the existing technologies. Summary of the Invention

[0004] In view of the deficiencies in the prior art, the present invention provides a non-standard electromagnetic target detection and agile jamming integrated system based on the ZYNQ architecture, which solves the problems of insufficient detection accuracy, poor real-time performance, and difficult identification in complex electromagnetic environments in traditional electromagnetic target detection technologies for non-standard signals (such as non-standard power, frequency band, and energy); by combining multi-domain signal processing, intelligent optimization algorithms, and agile jamming mechanisms, the present invention significantly improves the detection accuracy and processing speed of the system, can efficiently identify and respond to non-standard electromagnetic targets in complex electromagnetic environments, and flexibly perform jamming responses. This technology not only meets the requirements of modern electronic warfare for rapid identification and response to electromagnetic targets, but also provides an efficient solution for electromagnetic spectrum management and jamming countermeasures.

[0005] The object of the present invention is achieved as follows: A non-standard electromagnetic target detection and agile jamming integrated system based on the ZYNQ architecture, comprising: An antenna unit for receiving and transmitting electromagnetic signals in a wide frequency band; A gain module for amplifying the received and transmitted signals to improve signal quality and detection sensitivity; A radio frequency front end for performing up and down frequency conversion, analog-to-digital conversion, and radio frequency signal transceiver operations of signals, providing necessary signal conversion and processing functions for the system; A PC for issuing control commands to adjust the gain of the system to achieve signal amplification and flexible adjustment; An FPGA signal processing unit, based on the FPGA platform, for generating, receiving, processing signals, and performing subsequent signal analysis and jamming algorithms.

[0006] Further, the core algorithms of the system specifically include: Step 1) The system first performs real-time acquisition and preprocessing on the electromagnetic signals of non-standard electromagnetic targets received; Step 2) The system comprehensively analyzes the signals in the time domain, frequency domain, and energy domain, extracts the key features of the electromagnetic signals through real-time algorithms, including the signal amplitude in the time domain, the spectral waveform, bandwidth, and center frequency in the frequency domain, and the cumulative energy in the energy domain, and generates a frequency-modulated continuous wave waveform matching the detected bandwidth, energy, and center frequency based on these features; Step 3) The system generates a matching frequency-modulated continuous wave waveform according to the extracted key features and performs jamming; after the jamming is completed, the system immediately returns to the detection mode and continues to perform real-time monitoring and analysis of the signals in the environment. The detection and jamming time modes of the system alternate.

[0007] Further, the extraction of key features in step 2) is specifically as follows: The radio frequency signal is transmitted to the radio frequency front end of the built-in radio frequency transceiver through the antenna unit. After low-noise amplification and filtering, it is subjected to IQ down-conversion to generate the original IQ time-domain data for extracting the signal amplitude. The fast Fourier transform is used to perform spectrum analysis on the IQ time-domain data to obtain frequency-domain features, and at the same time, the cumulative energy of the signal is calculated in combination with the frequency-domain features. When extracting the frequency-domain waveform, signal bandwidth, and center frequency, the signal peak detection method is adopted, specifically: The spectrum of the signal is obtained through the fast Fourier transform, and the peak position of the signal is scanned based on the spectrum resolution; Near the signal peak, the two closest -10 dB attenuation points before and after the peak point are found, and the corresponding sampling point coordinates are recorded; Through these two coordinates, the system can accurately calculate the signal bandwidth and center frequency. Combining the signal bandwidth and signal energy, the system calculates the cumulative energy within the bandwidth and generates a frequency-modulated continuous wave waveform based on the cumulative energy and center frequency.

[0008] Further, the specific method of interference in step 3) is as follows: According to the received key features, the system first extracts the key information of the signal bandwidth, cumulative energy within the bandwidth, and center frequency. Based on these characteristic parameters, a corresponding frequency-modulated continuous wave waveform is generated, and by precisely adjusting the bandwidth and center frequency, it is used to match the characteristics of the target signal. The generated frequency-modulated continuous wave waveform is processed by the radio frequency front end, amplified by the power amplifier, and then sent to the antenna for radiation, thereby achieving interference on the target.

[0009] Further, the switching condition in step 3) is: When it is confirmed during detection that the features meet the interference requirements, it switches to interference, and after the interference is completed and the target is suppressed, it switches back to detection; specifically: When the system extracts the key features of the target signal from the time domain, frequency domain, and energy domain, the interference mode is triggered, and after the interference ends, the system automatically returns to the detection mode.

[0010] Compared with the prior art, the beneficial effects of the present invention are as follows: Using the present invention, the key features of non-standard electromagnetic targets in the electromagnetic environment can be efficiently extracted, covering information such as the time domain, frequency domain, and energy domain, and non-standard electromagnetic targets can be analyzed and accurately identified in real time; Through precise signal detection and feature extraction, the system can quickly respond to non-standard electromagnetic targets in a complex electromagnetic environment and implement agile interference, effectively disrupting the enemy's electromagnetic activities; With high-precision and low-latency real-time response capabilities, the system can quickly identify and process electromagnetic targets, protecting its own equipment from interference or attack. At the same time, the agile interference function enhances the electromagnetic confrontation ability, improves the efficiency and accuracy of electromagnetic target detection and interference, and provides strong technical support for electronic warfare. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained according to the provided drawings.

[0012] Figure 1 It is the overall design block diagram of the present invention.

[0013] Figure 2 It is the core algorithm flow chart of the present invention.

[0014] Figure 3 It is the key feature extraction flow chart of the present invention.

[0015] Figure 4 It is the interference flow chart of the present invention.

[0016] Figure 5 It is the outdoor electromagnetic experiment scenario diagram of the embodiment of the present invention.

[0017] Figure 6 It is the physical diagram of the dual-channel RF receiver in the embodiment of the present invention.

[0018] Figure 7 It is the frequency domain diagram of the FMCW signal generated in the embodiment of the present invention.

[0019] Figure 8 It is displayed in the upper computer interface in the embodiment of the present invention Figure One .

[0020] Figure 9 It is displayed in the upper computer interface in the embodiment of the present invention Figure Two .

[0021] Figure 10 It is the schematic diagram of the waveform displayed on the spectrum analyzer in the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0023] The overall design block diagram of the present invention is as Figure 1As shown, the overall system is divided into five main parts: an antenna unit, a gain module, a radio frequency (RF) front-end, a PC, and an FPGA signal processing unit.

[0024] The antenna unit uses an omnidirectional broadband antenna with 2 transmit and 2 receive channels, covering a frequency range from 0 MHz to 6000 MHz, ensuring that the system can receive and transmit electromagnetic signals over a wide frequency band.

[0025] The RF front-end module is responsible for up-conversion and down-conversion of signals, analog-to-digital conversion, and RF signal transmission and reception operations, providing the necessary signal conversion and processing functions for the system.

[0026] The PC is used to send control commands to adjust the gain of the system to achieve signal amplification and flexible adjustment. The gain module is mainly responsible for amplifying received and transmitted signals to improve signal quality and detection sensitivity.

[0027] The FPGA signal processing unit generates, receives, processes signals, and performs subsequent signal analysis and interference algorithms.

[0028] Through the close cooperation of each module, the entire system forms an efficient non-standard electromagnetic target detection and smart interference integrated solution, capable of responding in real-time to various electromagnetic targets in a complex electromagnetic environment.

[0029] Figure 2 Shows the implementation process of the system's core algorithm. With the support of the hardware platform, the system first performs real-time acquisition and preprocessing of the received electromagnetic signals. Then, the system comprehensively analyzes the signals in the time domain, frequency domain, and energy domain, and extracts key features of the electromagnetic signals through efficient real-time algorithms, including signal amplitude, amplitude spectrum waveform, bandwidth, center frequency, etc. These features are used to generate an FMCW waveform corresponding to the detected bandwidth, energy, and center frequency. During the interference process, the system generates a matching FMCW waveform based on the extracted target signal features and performs interference. After the interference is completed, the system immediately returns to the detection mode and continues to perform real-time monitoring and analysis of the signals in the environment. The time patterns of detection and interference alternate to ensure that detection is not performed during signal interference, thus avoiding signal confusion and loss during the interference process. The switching conditions are as follows: when the detected features meet the interference requirements during detection, it switches to interference; after the interference is completed and the target is suppressed, it switches back to detection; specifically, when the system extracts the key features of the target signal from the time domain, frequency domain, and energy domain, it triggers the interference mode, and after the interference ends, the system automatically returns to the detection mode.

[0030] This processing flow makes full use of the high parallel computing power of the FPGA, combines the close collaborative design of hardware and algorithms, and effectively improves the analysis speed and accuracy of target signals in complex electromagnetic environments. By generating an FMCW waveform that matches the characteristics of the target signal, the system can perform agile interference in a dynamically changing electromagnetic environment and enhance the comprehensive perception ability of the target. This technical solution ensures that in a complex battlefield environment, it can meet the rapid detection and interference requirements of non-standard electromagnetic targets in real time and accurately, and realizes the functions of efficient electromagnetic target detection and agile interference.

[0031] Figure 3 Shows the specific method for extracting the key features of received non-standard electromagnetic targets: The radio frequency signal is transmitted to the radio frequency front end with a built-in radio frequency transceiver through the receiving antenna array. After low-noise amplification and filtering, it is subjected to IQ down-conversion to generate the original IQ time-domain data. In order to extract the key features of non-standard electromagnetic targets, the present invention uses the fast Fourier transform (FFT) to perform spectral analysis on the IQ time-domain data and calculates the total energy of the signal at the same time.

[0032] In the process of frequency-domain feature extraction, the system uses the signal peak detection method. The specific steps are as follows: First, obtain the spectrum of the signal through FFT transformation, and scan the peak position of the signal based on the spectral resolution (every 10 MHz bandwidth). Then, near the signal peak, find the closest -10 dB attenuation points before and after the peak point, and record the corresponding sampling point coordinates. Through these two coordinates, the system can accurately calculate the bandwidth and center frequency of the signal.

[0033] In addition, combining the spectral data and the signal amplitude, the system calculates the cumulative energy within the bandwidth. This method not only ensures the accurate extraction of the bandwidth, center frequency, and energy of non-standard electromagnetic targets, but also provides key information for subsequent agile interference, ensuring that the interference signal can accurately match the target characteristics and improving the effectiveness and accuracy of interference. Through this precise feature extraction process, the system can lay a solid foundation for the identification and interference of non-standard electromagnetic targets.

[0034] Figure 4 Shows the specific method of agile interference of the present invention: According to the characteristics of the received non-standard electromagnetic target, the system first extracts key information such as the bandwidth, cumulative energy within the bandwidth, and center frequency of the signal. Then, based on these characteristic parameters, it generates a corresponding frequency-modulated continuous wave (FMCW) waveform. By precisely adjusting the bandwidth and center frequency, the system ensures the effectiveness and pertinence of the interference signal to match the characteristics of the target signal. The generated FMCW waveform is processed by the radio frequency front end, amplified by a power amplifier, and then sent to the antenna for radiation, thus realizing agile interference on the target.

[0035] In this process, the system fully considers the specific characteristics of the target signal to ensure that the interference signal is not only precise and effective but also timely. Through highly targeted interference signals, this method can achieve precise and efficient electromagnetic interference in a complex electromagnetic environment, effectively counter non-standard electromagnetic targets, and protect its own equipment from enemy electromagnetic attacks. This kind of smart jamming technology provides a flexible coping strategy in a dynamically changing electromagnetic environment and offers important support for electromagnetic countermeasures in modern electronic warfare.

[0036] The following further illustrates the present invention with specific examples.

[0037] Select an outdoor electromagnetic experiment scenario for testing. As Figure 5 shown, the target detection and smart jamming system is deployed in an open environment. The antenna uses a full-band wideband antenna with a working frequency range of 0 - 6 GHz. The system switches between the transmitting and receiving functions through an electronic switch, ensuring flexible signal processing capabilities. The receiving gain of the antenna varies in different frequency bands: in the 0 - 100 MHz frequency band, the gain range is from -25 dB to -15 dB; in the 100 - 300 MHz frequency band, the gain is between -15 dB and 0 dB; and in the frequency band above 300 MHz, the gain is greater than 0 dB. This antenna design can cover a wide spectrum range, adapt to the receiving requirements of signals in different frequency bands, and ensure the efficient detection and jamming capabilities of the system in a complex electromagnetic environment.

[0038] Figure 6 shows a physical diagram of the dual-channel RF receiver used in the experiment. The receiver contains four channels, RX1, RX2, TX1, and TX2, which are connected to the electronic switch through SMA connecting wires and are respectively connected to the Figure 5 antenna shown. The host computer issues acquisition instructions through the TCP protocol. After the instructions are executed, the RF receiver starts to collect signals and transmits the data to the host computer for subsequent processing. Through the electronic switch, the system can switch between the transmitting and receiving modes, thus ensuring efficient signal acquisition and real-time data transmission in different operating modes.

[0039] Generation of FMCW signal: Assume the signal bandwidth is BW and the pulse width is PW. According to the chirp direction (positive slope or negative slope), the slope formula is obtained:

[0040] The instantaneous frequency f(t) changes with time: The real and imaginary parts of the final signal are respectively:

[0041]

[0042] As Figure 7 shown, a frequency domain diagram of an FMCW signal with a 200 MHz bandwidth is generated, and then the corresponding center frequency is set and transmitted through the host computer to achieve the interference effect.

[0043] All the collected time-domain, frequency-domain, and energy-domain data will be displayed in the host computer interface as Figure 8 shown, and the detection results of the bandwidth, energy, and center frequency are presented in real time.

[0044] After that, as Figure 9 shown, the user can set the corresponding center frequency, bandwidth, and transmission attenuation according to needs to further optimize the interference effect and signal characteristics.

[0045] The emitted waveform is displayed on the spectrum analyzer as Figure 10 shown. It can be clearly seen from the figure that the bandwidth and center frequency of the waveform are exactly consistent with the actual set values. Through precise frequency modulation and signal processing, the generated FMCW waveform effectively matches the characteristics of the target signal, verifying that the system can accurately adjust according to the characteristics (bandwidth, center frequency, energy) of the non-standard electromagnetic target during interference. This figure clearly shows the interference effect of the system in actual operation, ensuring the pertinence and effectiveness of the interference signal.

[0046] The description of the above embodiments is only used to help understand the method and its core idea of the present invention. It should be noted that for those of ordinary skill in the art of this technology, without departing from the principle of the present invention, several improvements and modifications can still be made to the present invention, and these improvements and modifications also fall within the protection scope of the claims of the present invention.

Claims

1. A non-standard electromagnetic target detection and smart jamming integrated system based on ZYNQ architecture, characterized in that: include: Antenna unit, used to receive and send electromagnetic signals over a wide frequency band; Gain module, used to amplify the received and transmitted signals to improve signal quality and detection sensitivity; The RF front end is used to complete the up and down frequency conversion, analog-to-digital conversion and the transmission and reception of RF signals, providing the necessary signal conversion and processing functions for the system; The PC side is used to issue control instructions and adjust the system gain to achieve signal amplification and flexible adjustment; The FPGA signal processing unit, based on the FPGA platform, completes signal generation, reception, processing, and subsequent signal analysis and interference algorithm execution.

2. According to the ZYNQ architecture-based non-standard electromagnetic target detection and smart jamming integrated system of claim 1, it is characterized in that: The core algorithms of the system include: Step 1) The system first collects and preprocesses the electromagnetic signals of non-standard electromagnetic targets received in real time; Step 2) The system comprehensively analyzes the signal in the time domain, frequency domain, and energy domain, and extracts the key features of the electromagnetic signal through real-time algorithms, including the signal amplitude in the time domain, the spectrum waveform, bandwidth, and center frequency in the frequency domain, and the accumulated energy in the energy domain. Based on these features, a frequency modulated continuous wave waveform matching the detected bandwidth, energy, and center frequency is generated; Step 3) The system generates a matching frequency modulated continuous wave waveform based on the extracted key features and performs interference; after the interference is completed, the system immediately returns to the detection mode and continues to monitor and analyze the signals in the environment in real time. The system's detection and interference time modes are alternating.

3. The non-standard electromagnetic target detection and smart jamming integrated system based on ZYNQ architecture according to claim 2 is characterized in that: Step 2) Extraction of key features in the process, specifically: the RF signal is transmitted to the RF front end of the built-in RF transceiver through the antenna unit, and after low-noise amplification and filtering, IQ down-conversion is performed to generate original IQ time domain data to extract signal amplitude; fast Fourier transform is used to perform spectrum analysis on the IQ time domain data to obtain frequency domain features, and the cumulative energy of the signal is calculated in combination with the frequency domain features; When extracting the frequency domain waveform, signal bandwidth and center frequency, the signal peak detection method is used. Specifically, the signal spectrum is obtained through fast Fourier transform, and the peak position of the signal is scanned based on the spectrum resolution; near the signal peak, the closest -10 dB attenuation point before and after the peak point is found, and the corresponding sampling point coordinates are recorded; through these two coordinates, the system can accurately calculate the signal bandwidth and center frequency; Combining the signal bandwidth and signal energy, the system calculates the accumulated energy within the bandwidth and generates a frequency modulated continuous wave waveform based on the accumulated energy and the center frequency.

4. The non-standard electromagnetic target detection and smart jamming integrated system based on ZYNQ architecture according to claim 3 is characterized in that: The specific method of interference in step 3) is: Based on the received key features, the system first extracts key information about the signal bandwidth, the accumulated energy within the bandwidth, and the center frequency; Generate a corresponding frequency modulated continuous wave waveform based on these characteristic parameters, and precisely adjust the bandwidth and center frequency to match the characteristics of the target signal; The generated frequency modulated continuous wave waveform is processed by the RF front end and amplified by the power amplifier before being sent to the antenna for radiation, thereby interfering with the target.

5. The non-standard electromagnetic target detection and smart jamming integrated system based on ZYNQ architecture according to claim 2 is characterized in that: The switching condition in step 3) is: when the detection feature is confirmed to meet the interference requirements, it will switch to interference, and when the interference is completed and the target is suppressed, it will switch back to detection; specifically: when the system extracts the key features of the target signal from the time domain, frequency domain and energy domain, the interference mode is triggered, and after the interference ends, the system automatically returns to the detection mode.

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