MUSIC-like estimation of direction of arrival for noncircular sources

被引:238
作者
Abeida, Habti [1 ]
Delmas, Jean-Pierre [1 ]
机构
[1] Inst Natl Telecommun, CNRS, Dept CITI, GET,INT,UMR 5157, F-91011 Evry, France
关键词
asymptotically minimum variance (AMV); complex noncircular sources; direction of arrival (DOA) estimation; MUSIC algorithm; subspace-based algorithms;
D O I
10.1109/TSP.2006.873505
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
This paper examines the asymptotic performance of MUSIC-like algorithms for estimating directions of arrival (DOA) of narrowband complex noncircalar sources. Using closed-form expressions of the covariance of the asymptotic distribution of different projection matrices, it provides a unifying framework for investigating the asymptotic performance of arbitrary subspace-based algorithms valid for Gaussian or non-Gaussian and complex circular or noncircular sources. We also derive different robustness properties from the asymptotic covariance of the estimated DOA given by such algorithms. These results are successively applied to four algorithms: to two attractive MUSIC-like algorithms previously introduced in the literature, to an extension of these algorithms, and to an optimally weighted MUSIC algorithm proposed in this paper. Numerical examples illustrate the performance of the studied algorithms compared to the asymptotically minimum variance (AMV) algorithms introduced as benchmarks.
引用
收藏
页码:2678 / 2690
页数:13
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