一种新的鲁棒CFAR检测器设计方法

Design of a Robust CFAR Detector

针对先验环境信息未知或先验环境信息不准确导致的检测性能损失问题,设计了一种复杂背景下鲁棒CFAR检测器。在检测器设计中,通过利用样本的统计直方图和均值比判断观测窗所属杂波类型,在存在干扰目标或杂波边缘环境时使用新的干扰加权算法对观测样本进行筛选,根据筛选后的样本得到相应的检测门限。分析了所设计检测器在均匀杂波、存在干扰目标及杂波边缘环境下的检测性能。研究结果表明,在各种先验信息未知的复杂杂波环境中,所设计的CFAR检测器可以得到较好的检测性能,对天基预警雷达系统的检测器设计具有一定的参考价值。仿真结果验证了方法的有效性和正确性。

The unknown prior environmental information or incorrect prior environmental information will cause the loss of detect performance. For this problem, a design method for a robust CFAR detector is presented in the complex environment. In the procedure of design,the statistics histogram of the samples and the radio of the means are used to confirm the clutter environment type. Under the condition of interfering target existence or clutter edge environment, a new interference weighting algorithm is used to choose sample, then the detector threshold is obtained. The detector＇s performance is analyzed under homogeneous background, interfering target existence and clutter edge situation. The results of the study show that the proposed detector applies to the complex clutter environment, in which prior environmental information is unknown or not correct and can obtain better detection performance. The obtained results can provide great reference for the detectors of the space - based radar systems. Simulation results verify the effectiveness and correctness of the proposed method.