A Bayesian approach to direction-of-arrival estimation of coherent signals

Yufei Huang; Petar M. Djurić

doi:10.1109/HOST.1999.778761

A Bayesian approach to direction-of-arrival estimation of coherent signals

Yufei Huang
, Petar M. Djurić

Electrical Engineering

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

Direction-of-arrival (DOA) estimation is one of the most important problems in array processing. Many existing high resolution methods are based on eigen-decomposition techniques, and they, in many physical scenarios, have excellent performance. In the presence of coherent signals, however, these methods may no longer provide reliable results. In this paper, a Bayesian method is proposed based on a model constructed specifically for coherent signals. In addition, a Markov chain Monte Carlo (MCMC) scheme is proposed to solve some intractable integrals. Finally, simulation results are presented that compare the performance of the Bayesian DOA estimation with some existing approaches.

Original language	English
Title of host publication	Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	371-374
Number of pages	4
ISBN (Electronic)	0769501400, 9780769501406
DOIs	https://doi.org/10.1109/HOST.1999.778761
State	Published - 1999
Event	1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 - Caesarea, Israel Duration: Jun 14 1999 → Jun 16 1999

Publication series

Name	Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999

Conference

Conference	1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999
Country/Territory	Israel
City	Caesarea
Period	06/14/99 → 06/16/99

Access to Document

10.1109/HOST.1999.778761

Cite this

Huang, Y., & Djurić, P. M. (1999). A Bayesian approach to direction-of-arrival estimation of coherent signals. In Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 (pp. 371-374). Article 778761 (Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HOST.1999.778761

Huang, Yufei ; Djurić, Petar M. / A Bayesian approach to direction-of-arrival estimation of coherent signals. Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999. Institute of Electrical and Electronics Engineers Inc., 1999. pp. 371-374 (Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999).

@inproceedings{9e9b599277ef4193bc07ee3fb5d2e07d,

title = "A Bayesian approach to direction-of-arrival estimation of coherent signals",

abstract = "Direction-of-arrival (DOA) estimation is one of the most important problems in array processing. Many existing high resolution methods are based on eigen-decomposition techniques, and they, in many physical scenarios, have excellent performance. In the presence of coherent signals, however, these methods may no longer provide reliable results. In this paper, a Bayesian method is proposed based on a model constructed specifically for coherent signals. In addition, a Markov chain Monte Carlo (MCMC) scheme is proposed to solve some intractable integrals. Finally, simulation results are presented that compare the performance of the Bayesian DOA estimation with some existing approaches.",

author = "Yufei Huang and Djuri{\'c}, \{Petar M.\}",

note = "Publisher Copyright: {\textcopyright} 1999 IEEE.; 1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999 ; Conference date: 14-06-1999 Through 16-06-1999",

year = "1999",

doi = "10.1109/HOST.1999.778761",

language = "English",

series = "Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "371--374",

booktitle = "Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999",

}

Huang, Y & Djurić, PM 1999, A Bayesian approach to direction-of-arrival estimation of coherent signals. in Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999., 778761, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999, Institute of Electrical and Electronics Engineers Inc., pp. 371-374, 1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999, Caesarea, Israel, 06/14/99. https://doi.org/10.1109/HOST.1999.778761

A Bayesian approach to direction-of-arrival estimation of coherent signals. / Huang, Yufei; Djurić, Petar M.
Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999. Institute of Electrical and Electronics Engineers Inc., 1999. p. 371-374 778761 (Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Bayesian approach to direction-of-arrival estimation of coherent signals

AU - Huang, Yufei

AU - Djurić, Petar M.

PY - 1999

Y1 - 1999

N2 - Direction-of-arrival (DOA) estimation is one of the most important problems in array processing. Many existing high resolution methods are based on eigen-decomposition techniques, and they, in many physical scenarios, have excellent performance. In the presence of coherent signals, however, these methods may no longer provide reliable results. In this paper, a Bayesian method is proposed based on a model constructed specifically for coherent signals. In addition, a Markov chain Monte Carlo (MCMC) scheme is proposed to solve some intractable integrals. Finally, simulation results are presented that compare the performance of the Bayesian DOA estimation with some existing approaches.

AB - Direction-of-arrival (DOA) estimation is one of the most important problems in array processing. Many existing high resolution methods are based on eigen-decomposition techniques, and they, in many physical scenarios, have excellent performance. In the presence of coherent signals, however, these methods may no longer provide reliable results. In this paper, a Bayesian method is proposed based on a model constructed specifically for coherent signals. In addition, a Markov chain Monte Carlo (MCMC) scheme is proposed to solve some intractable integrals. Finally, simulation results are presented that compare the performance of the Bayesian DOA estimation with some existing approaches.

UR - https://www.scopus.com/pages/publications/50649111478

U2 - 10.1109/HOST.1999.778761

DO - 10.1109/HOST.1999.778761

M3 - Conference contribution

AN - SCOPUS:50649111478

T3 - Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999

SP - 371

EP - 374

BT - Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 1999 IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999

Y2 - 14 June 1999 through 16 June 1999

ER -

Huang Y, Djurić PM. A Bayesian approach to direction-of-arrival estimation of coherent signals. In Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999. Institute of Electrical and Electronics Engineers Inc. 1999. p. 371-374. 778761. (Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, SPW-HOS 1999). doi: 10.1109/HOST.1999.778761

A Bayesian approach to direction-of-arrival estimation of coherent signals

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