Enhanced Radar Target Detection with Local Minimum Entropy CLEAN

In the case of low signal-to-noise ratio (SNR), cross term interference generated by time-frequency analysis of multiple targets echo signal are difficult problems in radar detection. In order to reduce the errors caused by cross terms, an improved CLEAN algorithm based on the local minimum entropy criterion is proposed in this paper. The algorithm uses the local minimum entropy of the spectrum to improve the estimation accuracy of sinusoidal parameters, and combines with the CLEAN algorithm to improve the multiple targets detection capability. The simulation results show that the CLEAN algorithm based on the local minimum entropy criterion can detect all the targets when multiple targets interfere with each other.