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Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays

A two-stage method is proposed to jointly estimate the direction-of-arrival (DOA) and carrier frequency (CF) of multiple sources, by using two orthogonal coprime arrays (CPAs). The DOAs of CF-known sources are estimated first by applying a spatial smoothing MUSIC algorithm. The contribution of these...

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Detalles Bibliográficos
Autores principales: Hsu, Kai-Chieh, Kiang, Jean-Fu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359100/
https://www.ncbi.nlm.nih.gov/pubmed/30650670
http://dx.doi.org/10.3390/s19020335
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author Hsu, Kai-Chieh
Kiang, Jean-Fu
author_facet Hsu, Kai-Chieh
Kiang, Jean-Fu
author_sort Hsu, Kai-Chieh
collection PubMed
description A two-stage method is proposed to jointly estimate the direction-of-arrival (DOA) and carrier frequency (CF) of multiple sources, by using two orthogonal coprime arrays (CPAs). The DOAs of CF-known sources are estimated first by applying a spatial smoothing MUSIC algorithm. The contribution of these source signals is then removed from the originally received signal by applying an orthogonal complement projector. Next, a joint-ESPRIT algorithm is applied to estimate the DOAs and CFs of the remaining CF-unknown sources. With two orthogonal CPA(5, 6), the RMSE of DOA and CF of applying the proposed method to 30 sources, 13 of which have unknown CF, is less than 1% at SNR [Formula: see text] dB.
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spelling pubmed-63591002019-02-06 Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays Hsu, Kai-Chieh Kiang, Jean-Fu Sensors (Basel) Article A two-stage method is proposed to jointly estimate the direction-of-arrival (DOA) and carrier frequency (CF) of multiple sources, by using two orthogonal coprime arrays (CPAs). The DOAs of CF-known sources are estimated first by applying a spatial smoothing MUSIC algorithm. The contribution of these source signals is then removed from the originally received signal by applying an orthogonal complement projector. Next, a joint-ESPRIT algorithm is applied to estimate the DOAs and CFs of the remaining CF-unknown sources. With two orthogonal CPA(5, 6), the RMSE of DOA and CF of applying the proposed method to 30 sources, 13 of which have unknown CF, is less than 1% at SNR [Formula: see text] dB. MDPI 2019-01-15 /pmc/articles/PMC6359100/ /pubmed/30650670 http://dx.doi.org/10.3390/s19020335 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
Hsu, Kai-Chieh
Kiang, Jean-Fu
Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays
title Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays
title_full Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays
title_fullStr Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays
title_full_unstemmed Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays
title_short Joint Estimation of DOA and Frequency of Multiple Sources with Orthogonal Coprime Arrays
title_sort joint estimation of doa and frequency of multiple sources with orthogonal coprime arrays
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6359100/
https://www.ncbi.nlm.nih.gov/pubmed/30650670
http://dx.doi.org/10.3390/s19020335
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