Correlation-based local detection for deceptive interference mitigation in multi-parameter modulated radar

•The compressed sensing model of the multi-parameter randomly modulated radar is firstly established in this paper.•A method based on correlation local detection for deceptive interference mitigation in radar system is proposed.•The proposed interference mitigation method merely focuses on the local dictionary matrix rather than the whole information, which reduces the complexity of the algorithm. To improve the ability of resisting the deceptive interference for radar, a multi-parameter modulated radar signal is investigated and its compressed sensing model is constructed in this paper. Unlike the traditional frequency modulated continuous wave (FMCW) signal model, the established model has natural advantages in mitigating the deceptive interference due to the agility of multiple signal parameters. Simultaneously, to reduce the impact of the deceptive interference on the target echo, the compressed recovery algorithm combined with the proposed correlation-based local detection is introduced. Before recovering the target echo, the local dictionary matrix is inspected by using the correlation to ensure that the expected echo signal is obtained merely. Simulation results show that the proposed method significantly improves the performance in mitigating the deceptive interference. By coherently integrating the signals over multiple periods, the relative pure range profile or the range-Doppler plane could be acquired. It helps radar system to extract the distance or velocity information in the interference environment.