Phase Retrieval Approach for DOA Estimation With Array Errors

Wenyi Wang; Renbiao Wu; Junli Liang; Hing Cheung So

doi:10.1109/TAES.2017.2706878

Phase Retrieval Approach for DOA Estimation With Array Errors

Wenyi Wang
, Renbiao Wu
, Junli Liang
, Hing Cheung So

School of Electronics and Information

Civil Aviation University of China
City University of Hong Kong

Research output: Contribution to journal › Article › peer-review

29 Scopus citations

Abstract

Direction-of-arrival estimation in the presence of gain and phase errors is investigated from the phase retrieval (PR) perspective. In order to remove the influence of phase errors, they are isolated by taking the absolute values of the elements in the compensated covariance matrix. Finally, the formulated nonconvex PR optimization problem is solved by utilizing the feasible point pursuit algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.

Original language	English
Article number	7934085
Pages (from-to)	2610-2620
Number of pages	11
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	53
Issue number	5
DOIs	https://doi.org/10.1109/TAES.2017.2706878
State	Published - Oct 2017

Keywords

Direction-of-arrival (DOA) estimation
feasible point pursuit algorithm
gain and phase errors
phase retrieval (PR)

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10.1109/TAES.2017.2706878

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title = "Phase Retrieval Approach for DOA Estimation With Array Errors",

abstract = "Direction-of-arrival estimation in the presence of gain and phase errors is investigated from the phase retrieval (PR) perspective. In order to remove the influence of phase errors, they are isolated by taking the absolute values of the elements in the compensated covariance matrix. Finally, the formulated nonconvex PR optimization problem is solved by utilizing the feasible point pursuit algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.",

keywords = "Direction-of-arrival (DOA) estimation, feasible point pursuit algorithm, gain and phase errors, phase retrieval (PR)",

author = "Wenyi Wang and Renbiao Wu and Junli Liang and So, \{Hing Cheung\}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.",

year = "2017",

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doi = "10.1109/TAES.2017.2706878",

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AU - Wang, Wenyi

AU - Wu, Renbiao

AU - Liang, Junli

AU - So, Hing Cheung

PY - 2017/10

Y1 - 2017/10

N2 - Direction-of-arrival estimation in the presence of gain and phase errors is investigated from the phase retrieval (PR) perspective. In order to remove the influence of phase errors, they are isolated by taking the absolute values of the elements in the compensated covariance matrix. Finally, the formulated nonconvex PR optimization problem is solved by utilizing the feasible point pursuit algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.

AB - Direction-of-arrival estimation in the presence of gain and phase errors is investigated from the phase retrieval (PR) perspective. In order to remove the influence of phase errors, they are isolated by taking the absolute values of the elements in the compensated covariance matrix. Finally, the formulated nonconvex PR optimization problem is solved by utilizing the feasible point pursuit algorithm. Simulation results demonstrate the effectiveness of the proposed algorithm.

KW - Direction-of-arrival (DOA) estimation

KW - feasible point pursuit algorithm

KW - gain and phase errors

KW - phase retrieval (PR)

UR - https://www.scopus.com/pages/publications/85032374978

U2 - 10.1109/TAES.2017.2706878

DO - 10.1109/TAES.2017.2706878

M3 - 文章

AN - SCOPUS:85032374978

SN - 0018-9251

VL - 53

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EP - 2620

JO - IEEE Transactions on Aerospace and Electronic Systems

JF - IEEE Transactions on Aerospace and Electronic Systems

IS - 5

M1 - 7934085

ER -

Phase Retrieval Approach for DOA Estimation With Array Errors

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Keywords

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