Performance analysis of a minimum selected cell-averaging CFAR detection

In this paper, a new cell-averaging constant false alarm rate (CA-CFAR) detector based on minimum selected cell in sub-reference windows (SRW) is proposed. It takes the minimum cells in sub-reference sliding windows for rejecting some strong interferences or alleviating the clutter-edge effect surrounding the test cell, and then it uses the general cell-averaging technique to detect the target. Under Swerling II target fluctuating model, the analytic expressions of P_FA, PD and the average detection threshold (ADT) of the proposed CFAR detector are derived. By the performance comparison with other schemes through the simulation, it is found that the detection performance of minimum selected cell averaging (MSCA)-CFAR has a similar performance to that of OS-CFAR in nonhomogeneous background with strong interfering target.