RADAR DETECTION METHOD BASED ON COMPRESSED SENSING THEORY

Conventional radar detection methods have been based on the ambiguous function processing of direct channel signals and echo channel signals (ie, matched filtering techniques), which tends to cause problems such as width main-lobe and high side-lobe detection results. Since the number of targets to be detected is usually much smaller than the number of resolution units in the observation areas, the requirement of signal sparsity for compressive sensing (CS) theory is satisfied naturally. Therefore, a target detection method based on CS is proposed in this paper, which can obtain better target detection performance. Simulation results verify the effectiveness of the proposed method.