Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals

Zhengyu Wan; Wei Liu

doi:10.1109/CAMSAP45676.2019.9022514

Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals

Zhengyu Wan, Wei Liu

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

6 Citations (Scopus)

Abstract

The problem of direction of arrival (DOA) estimation with magnitude only measurements, i.e. non-coherent DOA estimation, is considered in this paper. Although it can be solved by sparse phase retrieval algorithms, known reference signals are needed to deal with the inherent ambiguity issue of this approach. In this work, to avoid the use of reference signals, which is not convenient in practice, an effective array structure based on two uniform linear arrays is proposed for non-coherent DOA estimation. A new ambiguity called spatial order ambiguity is also discussed for the first time. Simulation results are provided to show its effectiveness.

Original language	English
Title of host publication	2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	46-50
Number of pages	5
ISBN (Electronic)	9781728155494
DOIs	https://doi.org/10.1109/CAMSAP45676.2019.9022514
Publication status	Published - Dec 2019
Event	8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Le Gosier, Guadeloupe Duration: 15 Dec 2019 → 18 Dec 2019

Publication series

Name	2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings

Conference

Conference	8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019
Country/Territory	Guadeloupe
City	Le Gosier
Period	15/12/19 → 18/12/19

Keywords

DOA estimation
dual arrays
magnitude measurements
non-coherent
phase retrieval

ASJC Scopus subject areas

Control and Optimization
Artificial Intelligence
Computer Networks and Communications

More information

10.1109/CAMSAP45676.2019.9022514

Cite this

Wan, Z., & Liu, W. (2019). Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals. In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings (pp. 46-50). Article 9022514 (2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CAMSAP45676.2019.9022514

Wan, Zhengyu ; Liu, Wei. / Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals. 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 46-50 (2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings).

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title = "Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals",

abstract = "The problem of direction of arrival (DOA) estimation with magnitude only measurements, i.e. non-coherent DOA estimation, is considered in this paper. Although it can be solved by sparse phase retrieval algorithms, known reference signals are needed to deal with the inherent ambiguity issue of this approach. In this work, to avoid the use of reference signals, which is not convenient in practice, an effective array structure based on two uniform linear arrays is proposed for non-coherent DOA estimation. A new ambiguity called spatial order ambiguity is also discussed for the first time. Simulation results are provided to show its effectiveness.",

keywords = "DOA estimation, dual arrays, magnitude measurements, non-coherent, phase retrieval",

author = "Zhengyu Wan and Wei Liu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 ; Conference date: 15-12-2019 Through 18-12-2019",

year = "2019",

month = dec,

doi = "10.1109/CAMSAP45676.2019.9022514",

language = "English",

series = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",

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

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booktitle = "2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings",

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Wan, Z & Liu, W 2019, Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals. in 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings., 9022514, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 46-50, 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019, Le Gosier, Guadeloupe, 15/12/19. https://doi.org/10.1109/CAMSAP45676.2019.9022514

Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals. / Wan, Zhengyu; Liu, Wei.
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 46-50 9022514 (2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings).

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

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N2 - The problem of direction of arrival (DOA) estimation with magnitude only measurements, i.e. non-coherent DOA estimation, is considered in this paper. Although it can be solved by sparse phase retrieval algorithms, known reference signals are needed to deal with the inherent ambiguity issue of this approach. In this work, to avoid the use of reference signals, which is not convenient in practice, an effective array structure based on two uniform linear arrays is proposed for non-coherent DOA estimation. A new ambiguity called spatial order ambiguity is also discussed for the first time. Simulation results are provided to show its effectiveness.

AB - The problem of direction of arrival (DOA) estimation with magnitude only measurements, i.e. non-coherent DOA estimation, is considered in this paper. Although it can be solved by sparse phase retrieval algorithms, known reference signals are needed to deal with the inherent ambiguity issue of this approach. In this work, to avoid the use of reference signals, which is not convenient in practice, an effective array structure based on two uniform linear arrays is proposed for non-coherent DOA estimation. A new ambiguity called spatial order ambiguity is also discussed for the first time. Simulation results are provided to show its effectiveness.

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KW - dual arrays

KW - magnitude measurements

KW - non-coherent

KW - phase retrieval

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BT - 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

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Wan Z, Liu W. Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals. In 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 46-50. 9022514. (2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings). doi: 10.1109/CAMSAP45676.2019.9022514

Non-Coherent DOA Estimation Based on a Dual-Array Structure Without Reference Signals

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