Abstract: Based on automatic censored cell-averaging constant false alarm rate (CCA-CFAR) technique, a new distributed CCA-CFAR detector is presented. In the scheme, every local detector employs automatic censored cell-averaging CFAR algorithm to form estimate of clutter power level, and compares it with the test sample. Then each local detector makes local binary decision, and transmits it to the fusion center. Finally, the fusion center makes the overall decision based on the total local decisions. The overall decision, which is zero or one, is obtained at the dada fusion center based on the "k/N'' fusion rule. We analyze the performance of the detector in various environments including homogeneous, multiple target, and clutter edge cases. The results show that for the multiple interfering target situation, it exhibits good robustness. The attractive feature of the proposed detector is that they do not require a priori knowledge about the interference in order to perform well. Under Swerling 2 assumption, the analytic expressions of detection probability and false alarm probability are derived.