SUBSPACE-BASED DOA ESTIMATION USING FRACTIONAL LOWER ORDER STATISTICS

被引：0
|
作者：
Hari, K. V. S. [1 ]
Lalitha, V. [1 ]
机构：
[1] Indian Inst Sci, Dept Elect Commun Engn, Bangalore 560012, Karnataka, India
来源：
2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING | 2011年
关键词：
DOA Estimation; Subspace Methods; Non-Gaussian noise; Impulsive Noise; ALGORITHM;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Direction Of Arrival (DOA) estimation, using a sensor array, in the presence of non-Gaussian noise using Fractional Lower-Order Moments (FLOM) matrices is studied. In this paper, a new FLOM based technique using the Fractional Lower Order Infinity Norm based Covariance (FLIC) Matrix is proposed. The bounded property and the low-rank subspace structure of the FLIC matrix is derived. Performance of FLIC based DOA estimation using MUSIC, ESPRIT, is shown to be better than other FLOM based methods.
引用
收藏
页码：2580 / 2583
页数：4
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