基于改进的VI-CFAR算法的分布式CFAR检测

Distributed CFAR Detection Based On Modified VI-CFAR Algorithm

VI-CFAR是一种结合CA-CFAR,GO-CFAR和SO-CFAR的检测算法,它在均匀环境和非均匀环境下都具有较强的自适应性。在前后沿滑窗均存在干扰目标情况下,采用有序统计平均(OSCA)CFAR替代SO-CFAR,有效的提高了VI-CFAR在这种多目标环境下的鲁棒性。研究了采用改进的VI-CFAR算法作为局部检测器的并行分布式CFAR系统,融合准则采用“与”融合和“或”融合准则。给出仿真结果,并进行了讨论。

The VI-CFAR is a combination of the cell-averaging （CA） CFAR, smallest-of（SO） CFAR and the greatest-of（GO） CFAR, and it has high performance both in homogeneous environment and in nonhomogeneous environment. In this work, its robustness was improved by making the VI-CFAR switch to the ordered statistics cell-averaging （ OSCA） CFAR in multiple target situations where the interfering targets are present in both the halves of the reference window. Then the performance of distributed CFAR detection with the ＂AND＂, ＂OR＂ fusion rules using the modified version of the VI-CFAR as local detectors was analyzed. At last, simulation results were presented and discussed.