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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6359100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hsukaichieh jointestimationofdoaandfrequencyofmultiplesourceswithorthogonalcoprimearrays AT kiangjeanfu jointestimationofdoaandfrequencyofmultiplesourceswithorthogonalcoprimearrays |