Bayesian approach to high resolution direction-of-arrival estimation

Jianguo Huang; Jianfeng Chen; Chunming Liu; Petar M. Djuric

Bayesian approach to high resolution direction-of-arrival estimation

Jianguo Huang
, Jianfeng Chen
, Chunming Liu
, Petar M. Djuric

Electrical Engineering

Stony Brook University

Northwestern Polytechnical University Xian

Research output: Contribution to conference › Paper › peer-review

8 Scopus citations

Abstract

Improvement of performance and robustness of high resolution DOA estimators continues to be a problem of significant interest. In this paper, a method for estimation of DOAs of multiple sources based on Bayes theory is presented. Its performance is demonstrated by simulations whose results show that the resolution achieved by the Bayesian approach is much superior to the ones obtained by MUSIC and other standard algorithms for high-resolution DOA estimation.

Original language	English
Pages	377-380
Number of pages	4
State	Published - 1998
Event	Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China Duration: Oct 12 1998 → Oct 16 1998

Conference

Conference	Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98
City	Beijing, China
Period	10/12/98 → 10/16/98

Cite this

@conference{1e74a9154c7a41dc8f17637111fbfbae,

title = "Bayesian approach to high resolution direction-of-arrival estimation",

abstract = "Improvement of performance and robustness of high resolution DOA estimators continues to be a problem of significant interest. In this paper, a method for estimation of DOAs of multiple sources based on Bayes theory is presented. Its performance is demonstrated by simulations whose results show that the resolution achieved by the Bayesian approach is much superior to the ones obtained by MUSIC and other standard algorithms for high-resolution DOA estimation.",

author = "Jianguo Huang and Jianfeng Chen and Chunming Liu and Djuric, \{Petar M.\}",

year = "1998",

language = "English",

pages = "377--380",

note = "Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 ; Conference date: 12-10-1998 Through 16-10-1998",

}

TY - CONF

T1 - Bayesian approach to high resolution direction-of-arrival estimation

AU - Huang, Jianguo

AU - Chen, Jianfeng

AU - Liu, Chunming

AU - Djuric, Petar M.

PY - 1998

Y1 - 1998

N2 - Improvement of performance and robustness of high resolution DOA estimators continues to be a problem of significant interest. In this paper, a method for estimation of DOAs of multiple sources based on Bayes theory is presented. Its performance is demonstrated by simulations whose results show that the resolution achieved by the Bayesian approach is much superior to the ones obtained by MUSIC and other standard algorithms for high-resolution DOA estimation.

AB - Improvement of performance and robustness of high resolution DOA estimators continues to be a problem of significant interest. In this paper, a method for estimation of DOAs of multiple sources based on Bayes theory is presented. Its performance is demonstrated by simulations whose results show that the resolution achieved by the Bayesian approach is much superior to the ones obtained by MUSIC and other standard algorithms for high-resolution DOA estimation.

UR - https://www.scopus.com/pages/publications/0032283749

M3 - Paper

SP - 377

EP - 380

T2 - Proceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98

Y2 - 12 October 1998 through 16 October 1998

ER -

Bayesian approach to high resolution direction-of-arrival estimation

Abstract

Conference

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