Cargando…

DOA Estimation and Self-calibration under Unknown Mutual Coupling

In practical applications, the assumption of omnidirectional elements is not effective in general, which leads to the direction-dependent mutual coupling (MC). Under this condition, the performance of traditional calibration algorithms suffers. This paper proposes a new self-calibration method based...

Descripción completa

Detalles Bibliográficos
Autores principales: Qi, Dong, Tang, Min, Chen, Shiwen, Liu, Zhixin, Zhao, Yongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412500/
https://www.ncbi.nlm.nih.gov/pubmed/30823610
http://dx.doi.org/10.3390/s19040978
_version_ 1783402619657519104
author Qi, Dong
Tang, Min
Chen, Shiwen
Liu, Zhixin
Zhao, Yongjun
author_facet Qi, Dong
Tang, Min
Chen, Shiwen
Liu, Zhixin
Zhao, Yongjun
author_sort Qi, Dong
collection PubMed
description In practical applications, the assumption of omnidirectional elements is not effective in general, which leads to the direction-dependent mutual coupling (MC). Under this condition, the performance of traditional calibration algorithms suffers. This paper proposes a new self-calibration method based on the time-frequency distributions (TFDs) in the presence of direction-dependent MC. Firstly, the time-frequency (TF) transformation is used to calculate the space-time-frequency distributions (STFDs) matrix of received signals. After that, the estimated steering vector and corresponding noise subspace are estimated by the steps of noise removing, single-source TF points extracting and clustering. Then according to the transformation relationship between the MC coefficients, steering vector and MC matrix, we deduce a set of linear equations. Finally, with two-step alternating iteration, the equations are solved by least square method in order to estimate DOA and MC coefficients. Simulations results show that the proposed algorithm can achieve direction-dependent MC self-calibration and outperforms the existing algorithms.
format Online
Article
Text
id pubmed-6412500
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-64125002019-04-03 DOA Estimation and Self-calibration under Unknown Mutual Coupling Qi, Dong Tang, Min Chen, Shiwen Liu, Zhixin Zhao, Yongjun Sensors (Basel) Article In practical applications, the assumption of omnidirectional elements is not effective in general, which leads to the direction-dependent mutual coupling (MC). Under this condition, the performance of traditional calibration algorithms suffers. This paper proposes a new self-calibration method based on the time-frequency distributions (TFDs) in the presence of direction-dependent MC. Firstly, the time-frequency (TF) transformation is used to calculate the space-time-frequency distributions (STFDs) matrix of received signals. After that, the estimated steering vector and corresponding noise subspace are estimated by the steps of noise removing, single-source TF points extracting and clustering. Then according to the transformation relationship between the MC coefficients, steering vector and MC matrix, we deduce a set of linear equations. Finally, with two-step alternating iteration, the equations are solved by least square method in order to estimate DOA and MC coefficients. Simulations results show that the proposed algorithm can achieve direction-dependent MC self-calibration and outperforms the existing algorithms. MDPI 2019-02-25 /pmc/articles/PMC6412500/ /pubmed/30823610 http://dx.doi.org/10.3390/s19040978 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qi, Dong
Tang, Min
Chen, Shiwen
Liu, Zhixin
Zhao, Yongjun
DOA Estimation and Self-calibration under Unknown Mutual Coupling
title DOA Estimation and Self-calibration under Unknown Mutual Coupling
title_full DOA Estimation and Self-calibration under Unknown Mutual Coupling
title_fullStr DOA Estimation and Self-calibration under Unknown Mutual Coupling
title_full_unstemmed DOA Estimation and Self-calibration under Unknown Mutual Coupling
title_short DOA Estimation and Self-calibration under Unknown Mutual Coupling
title_sort doa estimation and self-calibration under unknown mutual coupling
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412500/
https://www.ncbi.nlm.nih.gov/pubmed/30823610
http://dx.doi.org/10.3390/s19040978
work_keys_str_mv AT qidong doaestimationandselfcalibrationunderunknownmutualcoupling
AT tangmin doaestimationandselfcalibrationunderunknownmutualcoupling
AT chenshiwen doaestimationandselfcalibrationunderunknownmutualcoupling
AT liuzhixin doaestimationandselfcalibrationunderunknownmutualcoupling
AT zhaoyongjun doaestimationandselfcalibrationunderunknownmutualcoupling