Research On Radar Reconnaissance Signal Processing Technology Based On Compressive Sensing

With the rapid development of equipment informatization,the battlefield electromagnetic environment is becoming more and more complex.As the main target detection method,radar exhibits multi-frequency band,large bandwidth,complex waveform,and time/space/frequency agility in terms of radiation characteristics.The real-time detection of radar emitter signals needs to meet the conditions of time consistency,airspace alignment,and frequency domain coverage.The bandwidth of the reconnaissance receiver determines the frequency acquisition probability of radar signals.The greater the bandwidth,the higher the probability of interception,but the sampling of AD.The higher the rate requirement,it also puts great pressure on subsequent signal processing and data storage.Based on the above problems,the paper proposes a radar reconnaissance signal processing technology based on compressive sensing theory,which breaks through the limitations of the traditional Nyquist sampling theorem and greatly reduces the sampling rate and signal under the condition of ensuring frequency acquisition probability.The main work of the dissertation is:1.The sparse representation model and the observation matrix model of compressed sensing are established,and the signal reconstruction algorithm based on compressed sensing is analyzed.The traditional radar reconnaissance receiver is analyzed and a typical digital receiver model is given.2.Combining radar reconnaissance receiving system and compressed sensing theory,Compressive Sensing theory is applied to broadband electronic reconnaissance receivers,and an electronic reconnaissance receiving system model based on compressed sensing is established,and computer simulations are performed to affect the performance of compressor-sensing receivers.The factors were analyzed in detail.3.Analyze and study the sparse representation of radar signals.According to the characteristics of the in-pulse modulation of linear frequency modulation signals and twophase coded signals,a redundant dictionary suitable for their respective radar signals is constructed,and the signal is analyzed based on Fourier by the reconstruction algorithm.4.A pre-reconstruction spectrum estimation algorithm based on compressed sensing is proposed.The algorithm is simulated by computer and the performance of the algorithm is analyzed.Simulation results show that the algorithm has good frequency estimation performance when the SNR is greater than 10dB.