A two stage matching pursuit based algorithm for DOA estimation in fast time-varying environments

被引：3

作者：

Cotter, Shane F. ^{[1
]}

机构：

[1] Union Coll, Dept Elect & Comp Engn, Schenectady, NY 12308 USA

来源：

PROCEEDINGS OF THE 2007 15TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING | 2007年

关键词：

directions of arrival (DOA); Matching Pursuit;

D O I：

10.1109/ICDSP.2007.4288519

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We propose a new directions of arrival (DOA) algorithm which provides very reliable estimates in fast time-varying environments. Popular DOA methods such as MUSIC in ESPRIT cannot be used in these environments because of their reliance on the estimation of a covariance matrix. The algorithm uses a two stage approach, The first stage uses a matching pursuit based algorithm to process each snapshot and determine DOA. These DOA estimates are aggregated a regular intervals and a subset of the DOA are selected and Fed to a second processing stage. This stage consists of a bank of least squares estimators which are used to determine the final DOA estimate. The performance of the algorithm is evaluated for closely and widely spaced DOA over a range of SNR values.

引用

页码：63 / 66

页数：4

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