A novel DOA estimation method for closely spaced multiple sources with large power differences

Yang Gao; Xin Jia; Jia Xu; Teng Long; Xiang Gen Xia

doi:10.1109/RADAR.2015.7131191

A novel DOA estimation method for closely spaced multiple sources with large power differences

Yang Gao
, Xin Jia
, Jia Xu
, Teng Long
, Xiang Gen Xia

School of Information and Electronics

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

9 Citations (Scopus)

Abstract

The direction of arrival (DOA) estimation is a key issue in array signal processing, and there are many well-known methods, e.g., Capon, MUSIC, Root-MUSIC and some other DOA estimation algorithms in the literature. Nevertheless, the effective DOA estimation for closely spaced multiple sources with large power differences is still a difficult problem due to the deteriorated resolution for the low power sources. In this paper, a novel DOA estimation method called Capon-MUSIC algorithm is proposed, which has a much higher resolution for closely spaced multiple sources with obvious power differences. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.

Original language	English
Title of host publication	2015 IEEE International Radar Conference, RadarCon 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1276-1279
Number of pages	4
Edition	June
ISBN (Electronic)	9781479982325
DOIs	https://doi.org/10.1109/RADAR.2015.7131191
Publication status	Published - 22 Jun 2015
Event	2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States Duration: 10 May 2015 → 15 May 2015

Publication series

Name	IEEE National Radar Conference - Proceedings
Number	June
Volume	2015-June
ISSN (Print)	1097-5659

Conference

Conference	2015 IEEE International Radar Conference, RadarCon 2015
Country/Territory	United States
City	Arlington
Period	10/05/15 → 15/05/15

Keywords

Capon algorithm
Capon-MUSIC algorithm
MUSIC algorithm
Root-MUSIC algorithm
closely spaced sources
direction of arrival (DOA)

Access to Document

10.1109/RADAR.2015.7131191

Cite this

Gao, Y., Jia, X., Xu, J., Long, T., & Xia, X. G. (2015). A novel DOA estimation method for closely spaced multiple sources with large power differences. In 2015 IEEE International Radar Conference, RadarCon 2015 (June ed., pp. 1276-1279). Article 7131191 (IEEE National Radar Conference - Proceedings; Vol. 2015-June, No. June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2015.7131191

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title = "A novel DOA estimation method for closely spaced multiple sources with large power differences",

abstract = "The direction of arrival (DOA) estimation is a key issue in array signal processing, and there are many well-known methods, e.g., Capon, MUSIC, Root-MUSIC and some other DOA estimation algorithms in the literature. Nevertheless, the effective DOA estimation for closely spaced multiple sources with large power differences is still a difficult problem due to the deteriorated resolution for the low power sources. In this paper, a novel DOA estimation method called Capon-MUSIC algorithm is proposed, which has a much higher resolution for closely spaced multiple sources with obvious power differences. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.",

keywords = "Capon algorithm, Capon-MUSIC algorithm, MUSIC algorithm, Root-MUSIC algorithm, closely spaced sources, direction of arrival (DOA)",

author = "Yang Gao and Xin Jia and Jia Xu and Teng Long and Xia, \{Xiang Gen\}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 2015 IEEE International Radar Conference, RadarCon 2015 ; Conference date: 10-05-2015 Through 15-05-2015",

year = "2015",

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doi = "10.1109/RADAR.2015.7131191",

language = "English",

series = "IEEE National Radar Conference - Proceedings",

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

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Gao, Y, Jia, X, Xu, J, Long, T & Xia, XG 2015, A novel DOA estimation method for closely spaced multiple sources with large power differences. in 2015 IEEE International Radar Conference, RadarCon 2015. June edn, 7131191, IEEE National Radar Conference - Proceedings, no. June, vol. 2015-June, Institute of Electrical and Electronics Engineers Inc., pp. 1276-1279, 2015 IEEE International Radar Conference, RadarCon 2015, Arlington, United States, 10/05/15. https://doi.org/10.1109/RADAR.2015.7131191

A novel DOA estimation method for closely spaced multiple sources with large power differences. / Gao, Yang; Jia, Xin; Xu, Jia et al.
2015 IEEE International Radar Conference, RadarCon 2015. June. ed. Institute of Electrical and Electronics Engineers Inc., 2015. p. 1276-1279 7131191 (IEEE National Radar Conference - Proceedings; Vol. 2015-June, No. June).

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

TY - GEN

T1 - A novel DOA estimation method for closely spaced multiple sources with large power differences

AU - Gao, Yang

AU - Jia, Xin

AU - Xu, Jia

AU - Long, Teng

AU - Xia, Xiang Gen

PY - 2015/6/22

Y1 - 2015/6/22

N2 - The direction of arrival (DOA) estimation is a key issue in array signal processing, and there are many well-known methods, e.g., Capon, MUSIC, Root-MUSIC and some other DOA estimation algorithms in the literature. Nevertheless, the effective DOA estimation for closely spaced multiple sources with large power differences is still a difficult problem due to the deteriorated resolution for the low power sources. In this paper, a novel DOA estimation method called Capon-MUSIC algorithm is proposed, which has a much higher resolution for closely spaced multiple sources with obvious power differences. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.

AB - The direction of arrival (DOA) estimation is a key issue in array signal processing, and there are many well-known methods, e.g., Capon, MUSIC, Root-MUSIC and some other DOA estimation algorithms in the literature. Nevertheless, the effective DOA estimation for closely spaced multiple sources with large power differences is still a difficult problem due to the deteriorated resolution for the low power sources. In this paper, a novel DOA estimation method called Capon-MUSIC algorithm is proposed, which has a much higher resolution for closely spaced multiple sources with obvious power differences. Finally, some numerical experiments are provided to demonstrate the effectiveness of the proposed method.

KW - Capon algorithm

KW - Capon-MUSIC algorithm

KW - MUSIC algorithm

KW - Root-MUSIC algorithm

KW - closely spaced sources

KW - direction of arrival (DOA)

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DO - 10.1109/RADAR.2015.7131191

M3 - Conference contribution

AN - SCOPUS:84937858829

T3 - IEEE National Radar Conference - Proceedings

SP - 1276

EP - 1279

BT - 2015 IEEE International Radar Conference, RadarCon 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2015 IEEE International Radar Conference, RadarCon 2015

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ER -

Gao Y, Jia X, Xu J, Long T , Xia XG. A novel DOA estimation method for closely spaced multiple sources with large power differences. In 2015 IEEE International Radar Conference, RadarCon 2015. June ed. Institute of Electrical and Electronics Engineers Inc. 2015. p. 1276-1279. 7131191. (IEEE National Radar Conference - Proceedings; June). doi: 10.1109/RADAR.2015.7131191

A novel DOA estimation method for closely spaced multiple sources with large power differences

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Keywords

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