电子学报2011，Vol.39Issue(4)：963-966,4.
复合高斯杂波协方差矩阵估计的失配性能分析
Mismatch Analysis of Covariance Matrix Estimator for Compound-Gaussian Clutter
摘要
Abstract
When the compound-Gaussian clutter can be clustered into groups of data with one and the same value of the texture, the Constant False Alarm Rate (CFAR) property and the detection performance of the adaptive normalized matched filter (ANMF) are analyzed in the mismatch situation, where the estimated clutter group size is unequal to the actual one. The theoretical analyses show that, the ANMF holds fully CFAR property when the actual clutter group size is multiples of the estimated one, while it is only CFAR to the clutter covariance matrix structure for other cases. It also shows that,the ANMF holds almost CFAR property for different subsets. Moreover, different mismatch cases cause different performance loss for the ANMF; and the worst performance results from the case when no a priori information about the texture correlation is available at all.关键词
自适应目标检测/性能分析/协方差矩阵估计/恒虚警率/复合高斯杂波Key words
adaptive target detection/ performance evaluation/ covariance matrix estimate/ constant false alarm rote/ compound-Gaussian clutter分类
信息技术与安全科学引用本文复制引用
简涛,何友,苏峰,顾雪峰,顾新锋..复合高斯杂波协方差矩阵估计的失配性能分析[J].电子学报,2011,39(4):963-966,4.基金项目
国家自然科学基金(No.60672140) （No.60672140）
教育部新世纪优秀人才支持计划(No.NCET-05-0912) （No.NCET-05-0912）
海军航空工程学院青年科研基金(No.HYQN201013) （No.HYQN201013）
