Adaptive detection of sparsely distributed target in non-Gaussian clutter

被引：17
作者：
Jian, T. [1 ]
He, Y. [1 ]
Su, F. [1 ]
Qu, C. [1 ]
Ping, D. [1 ]
机构：
[1] Naval Aeronaut & Astronaut Univ, Res Inst Informat Fus, Yantai 264001, Peoples R China
来源：
IET RADAR SONAR AND NAVIGATION | 2011年 / 5卷 / 07期
基金：
中国国家自然科学基金;
关键词：
RANGE-SPREAD TARGETS; COVARIANCE-MATRIX ESTIMATION; CFAR DETECTION; STATISTICAL-ANALYSIS; SUBSPACE DETECTION; RADAR DETECTION; NOISE; INTERFERENCE; PERFORMANCE; ALGORITHM;
D O I：
10.1049/iet-rsn.2010.0091
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Adaptive detection of a sparsely distributed target is addressed without secondary data, in non-Gaussian clutter modelled as a spherically invariant random vector. By utilising different estimators of covariance matrix, an adaptive detection scheme is proposed for a sparsely distributed target, based on the generalised likelihood ratio test and the order statistics. Moreover, the adaptive detector with recursive estimator holds approximate constant false alarm rate property with respect to the clutter covariance matrix structure and the statistics of the texture. The performance assessment conducted by Monte-Carlo simulation confirms the effectiveness of the proposed detectors.
引用
收藏
页码：780 / 787
页数：8
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