Target Detection Based on Phase Noise of Repeating Jamming

The repeating type of false target enters the radar receiver through the main lobe, realistically simulating the waveform of the real target in the time and frequency domains, posing a serious threat to radar search, recognition, and tracking. To improve the detection performance of radar in the above-mentioned interference scenarios, this paper models and analyzes the phase noise of the local oscillator of the jammer based on the phase noise difference between the jammer and the radar radio frequency (RF) system. On this basis, by establishing a statistical model for repeating jamming phase noise, utilizing the difference in phase noise between target echo and jamming signal, and based on Neyman Pearson (NP) theorem and generalized likelihood ratio tests (GLRT) method, a discriminative criterion is designed to achieve target detection in the background of interference. The effectiveness and feasibility of the algorithm are verified by Monte Carlo simulation results.