基于Alpha稳定分布杂波模型的雷达目标检测方法  

Radar Target Detection Method Based on the Alpha-stable Distribution Clutter Model

作　　者：郑作虎[1] 王首勇[1] 

机构地区：[1]空军预警学院雷达兵器运用工程重点实验室,武汉430019

出　　处：《电子与信息学报》2014年第12期2963-2968,共6页Journal of Electronics & Information Technology

基　　金：国家自然科学基金(61179014)资助课题

摘　　要：针对非高斯相关杂波背景下,移动目标检测(MTD)技术的检测性能严重下降的问题,该文基于Alpha稳定分布杂波模型和本征滤波理论,提出一种非高斯相关杂波背景下的雷达目标检测方法。该方法基于Alpha稳定分布杂波模型,通过幂变换抑制杂波的非高斯特性,以及通过分数低阶相关矩阵白化杂波,在此基础上应用本征滤波实现对目标信号的有效积累,可提高信杂比。仿真实验和实测数据验证表明,该方法在非高斯相关杂波背景下的检测性能明显优于MTD方法的性能。The detection performance of the Moving Target Detection （MTD） method descends badly in a non-Caussian correlated clutter background. Therefore, a radar target detection method in the non-Gaussian correlated clutter background is proposed, which is obtained based on the alpha-stable distribution clutter model and the eigenfilter. The proposed method suppresses the non-Gaussian clutter by the signed power and whitens the correlated clutter of the fractional lower order correlate matrix, which is based on the alpha-stable distribution clutter model. Finally, the eigenfilter is used to get a higher signal clutter ratio. Simulations and real data results show that, the detection performance of the proposed method obviously outperforms the MTD method in the non-Gaussian correlated clutter background.

关 键 词：雷达 目标检测 非高斯相关杂波 ALPHA稳定分布 幂变换 杂波白化 

分 类 号：TN957.51[电子电信—信号与信息处理]