Joint diagonalization based 2D DOA estimation for mixed circular and strictly noncircular sources

Hua Chen; Chunping Hou; Wei Ping Zhu; Wei Liu; Yang Yang Dong; Qing Wang

doi:10.1109/RADAR.2017.7944160

Joint diagonalization based 2D DOA estimation for mixed circular and strictly noncircular sources

Hua Chen, Chunping Hou, Wei Ping Zhu, Wei Liu, Yang Yang Dong, Qing Wang

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

Abstract

In this paper, a two-dimensional (2-D) direction-of-arrival (DOA) estimation method for a mixture of circular and strictly noncircular signals is presented based on a uniform rectangular array (URA). By exploiting the second-order non-circularity of incoming signals, a computationally effective ESPRIT-like method is developed to estimate the 2-D DOAs of mixed sources. The proposed method can automatically pair the estimated DOAs by joint diagonalization of two direction matrices. It can also solve the angle ambiguity problem when multiple incoming signals have the same angle θ or β. Simulation results are provided to verify the effectiveness of the proposed method.

Original language	English
Title of host publication	2017 IEEE Radar Conference, RadarConf 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-5
Number of pages	5
ISBN (Electronic)	9781467388238
DOIs	https://doi.org/10.1109/RADAR.2017.7944160
Publication status	Published - Jun 2017
Event	2017 IEEE Radar Conference, RadarConf 2017 - Seattle, United States Duration: 8 May 2017 → 12 May 2017

Publication series

Name	2017 IEEE Radar Conference, RadarConf 2017

Conference

Conference	2017 IEEE Radar Conference, RadarConf 2017
Country/Territory	United States
City	Seattle
Period	8/05/17 → 12/05/17

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing
Instrumentation

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10.1109/RADAR.2017.7944160

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Chen, H., Hou, C., Zhu, W. P., Liu, W., Dong, Y. Y., & Wang, Q. (2017). Joint diagonalization based 2D DOA estimation for mixed circular and strictly noncircular sources. In 2017 IEEE Radar Conference, RadarConf 2017 (pp. 1-5). Article 7944160 (2017 IEEE Radar Conference, RadarConf 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RADAR.2017.7944160

@inproceedings{e4c858171456444397d6a8a9efbc4dc3,

title = "Joint diagonalization based 2D DOA estimation for mixed circular and strictly noncircular sources",

abstract = "In this paper, a two-dimensional (2-D) direction-of-arrival (DOA) estimation method for a mixture of circular and strictly noncircular signals is presented based on a uniform rectangular array (URA). By exploiting the second-order non-circularity of incoming signals, a computationally effective ESPRIT-like method is developed to estimate the 2-D DOAs of mixed sources. The proposed method can automatically pair the estimated DOAs by joint diagonalization of two direction matrices. It can also solve the angle ambiguity problem when multiple incoming signals have the same angle θ or β. Simulation results are provided to verify the effectiveness of the proposed method.",

author = "Hua Chen and Chunping Hou and Zhu, {Wei Ping} and Wei Liu and Dong, {Yang Yang} and Qing Wang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE Radar Conference, RadarConf 2017 ; Conference date: 08-05-2017 Through 12-05-2017",

year = "2017",

month = jun,

doi = "10.1109/RADAR.2017.7944160",

language = "English",

series = "2017 IEEE Radar Conference, RadarConf 2017",

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

pages = "1--5",

booktitle = "2017 IEEE Radar Conference, RadarConf 2017",

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Chen, H, Hou, C, Zhu, WP, Liu, W, Dong, YY & Wang, Q 2017, Joint diagonalization based 2D DOA estimation for mixed circular and strictly noncircular sources. in 2017 IEEE Radar Conference, RadarConf 2017., 7944160, 2017 IEEE Radar Conference, RadarConf 2017, Institute of Electrical and Electronics Engineers Inc., pp. 1-5, 2017 IEEE Radar Conference, RadarConf 2017, Seattle, United States, 8/05/17. https://doi.org/10.1109/RADAR.2017.7944160

Joint diagonalization based 2D DOA estimation for mixed circular and strictly noncircular sources. / Chen, Hua; Hou, Chunping; Zhu, Wei Ping et al.
2017 IEEE Radar Conference, RadarConf 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-5 7944160 (2017 IEEE Radar Conference, RadarConf 2017).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Chen, Hua

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AU - Dong, Yang Yang

AU - Wang, Qing

PY - 2017/6

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N2 - In this paper, a two-dimensional (2-D) direction-of-arrival (DOA) estimation method for a mixture of circular and strictly noncircular signals is presented based on a uniform rectangular array (URA). By exploiting the second-order non-circularity of incoming signals, a computationally effective ESPRIT-like method is developed to estimate the 2-D DOAs of mixed sources. The proposed method can automatically pair the estimated DOAs by joint diagonalization of two direction matrices. It can also solve the angle ambiguity problem when multiple incoming signals have the same angle θ or β. Simulation results are provided to verify the effectiveness of the proposed method.

AB - In this paper, a two-dimensional (2-D) direction-of-arrival (DOA) estimation method for a mixture of circular and strictly noncircular signals is presented based on a uniform rectangular array (URA). By exploiting the second-order non-circularity of incoming signals, a computationally effective ESPRIT-like method is developed to estimate the 2-D DOAs of mixed sources. The proposed method can automatically pair the estimated DOAs by joint diagonalization of two direction matrices. It can also solve the angle ambiguity problem when multiple incoming signals have the same angle θ or β. Simulation results are provided to verify the effectiveness of the proposed method.

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T3 - 2017 IEEE Radar Conference, RadarConf 2017

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BT - 2017 IEEE Radar Conference, RadarConf 2017

PB - Institute of Electrical and Electronics Engineers Inc.

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Joint diagonalization based 2D DOA estimation for mixed circular and strictly noncircular sources

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