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An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System
In this paper, we propose an exact model-based method for near-field sources localization with a bistatic multiple input, multiple output (MIMO) radar system, and compare it with an approximated model-based method. The aim of this paper is to propose an efficient way to use the exact model of the re...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421683/ https://www.ncbi.nlm.nih.gov/pubmed/28358326 http://dx.doi.org/10.3390/s17040723 |
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author | Singh, Parth Raj Wang, Yide Chargé, Pascal |
author_facet | Singh, Parth Raj Wang, Yide Chargé, Pascal |
author_sort | Singh, Parth Raj |
collection | PubMed |
description | In this paper, we propose an exact model-based method for near-field sources localization with a bistatic multiple input, multiple output (MIMO) radar system, and compare it with an approximated model-based method. The aim of this paper is to propose an efficient way to use the exact model of the received signals of near-field sources in order to eliminate the systematic error introduced by the use of approximated model in most existing near-field sources localization techniques. The proposed method uses parallel factor (PARAFAC) decomposition to deal with the exact model. Thanks to the exact model, the proposed method has better precision and resolution than the compared approximated model-based method. The simulation results show the performance of the proposed method. |
format | Online Article Text |
id | pubmed-5421683 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-54216832017-05-12 An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System Singh, Parth Raj Wang, Yide Chargé, Pascal Sensors (Basel) Article In this paper, we propose an exact model-based method for near-field sources localization with a bistatic multiple input, multiple output (MIMO) radar system, and compare it with an approximated model-based method. The aim of this paper is to propose an efficient way to use the exact model of the received signals of near-field sources in order to eliminate the systematic error introduced by the use of approximated model in most existing near-field sources localization techniques. The proposed method uses parallel factor (PARAFAC) decomposition to deal with the exact model. Thanks to the exact model, the proposed method has better precision and resolution than the compared approximated model-based method. The simulation results show the performance of the proposed method. MDPI 2017-03-30 /pmc/articles/PMC5421683/ /pubmed/28358326 http://dx.doi.org/10.3390/s17040723 Text en © 2017 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 Singh, Parth Raj Wang, Yide Chargé, Pascal An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System |
title | An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System |
title_full | An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System |
title_fullStr | An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System |
title_full_unstemmed | An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System |
title_short | An Exact Model-Based Method for Near-Field Sources Localization with Bistatic MIMO System |
title_sort | exact model-based method for near-field sources localization with bistatic mimo system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5421683/ https://www.ncbi.nlm.nih.gov/pubmed/28358326 http://dx.doi.org/10.3390/s17040723 |
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