相参雷达K分布海杂波背景下非相干积累恒虚警检测方法

相参雷达系统下的非相干积累检测方法，可以提高雷达的目标检测速度，达到实时处理的要求。然而，相参雷达系统下的非相干积累检测方法对参考单元数、脉冲积累数、杂波散斑协方差矩阵以及海杂波模型的形状参数均是非恒虚警(CFAR)的。该文基于块白化的海杂波预白化方法，提出预白化单元平均恒虚警(PWCA-CFAR)检测方法和预白化单元中值恒虚警(PWCM-CFAR)检测方法，并使用了匹配于参考单元数、脉冲积累数、形状参数的自适应门限，确保提出检测方法的恒虚警特性。实验结果表明，当存在异常单元时，PWCM-CFAR检测方法的检测性能优于PWCA-CFAR检测方法。

Non-coherent Integration Constant False Alarm Rate Detectors against K-distributed Sea Clutter for Coherent Radar Systems

The non-coherent integration detectors for coherent radar systems can promote the detection rate of the radar and meet the required real-time processing, however, these detectors are not Constant False Alarm Rate (CFAR) with respect to the reference cell number, the accumulated pulse number, the clutter speckle covariance matrix, and the shape parameter of the sea clutter model. Based on block-whitening method to whiten the sea clutter, a Pre-Whitening Cell-Averaging CFAR (PWCA-CFAR) detector and a Pre-Whitening Cell-Median CFAR (PWCM-CFAR) detector are proposed where the detection thresholds matching the reference cell number, accumulated pulse number and shape parameter are used. The experiment results show that the PWCM-CFAR detector attains better detection performance than the PWCA-CFAR detector when there exist abnormal cells.