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Optimizing CFAR-based SAR Target Detection Algorithm for DSP Platform

In this paper, the CFAR detection algorithm is improved, and proposed an improved two parameter CFAR detection algorithm. The improved two parameter CFAR detector delivered in this paper only uses a target window and a background window, By using special methods to remove the leaked ship pixels in the background window and estimate the remaining pixels in the background window which are sea clutter to get the local window's clutter gray mean and variance. The moving step is the same as the length of the target window. Compared with two parameter CFAR detector, the structure is simplified and the detection result's false alarms is less, targets too close can also be detected, furthermore, the computing efficiency is improved. The simulation results prove the algorithm's effectiveness. And the practicability of the algorithm is verified by DSP.