Research on Low SNR Surface Target Detection Algorithm Based on Double Parameter Weighting

In order to solve the problem of decreasing surface target improvement factor in high resolution, a surface target detection algorithm based on double parameter weighting is proposed. According to the statistical characteristics of surface target signal amplitude and background amplitude, a new detection image is obtained by weighted product of data mean and data variance, and surface target detection is realized by using the detection method of global CFAR. Compared with the traditional CFAR detection, this method improves the detection performance, and the simulation results verify the feasibility.