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General Signal Model for Multiple-Input Multiple-Output GMTI Radar
Multiple-input multiple-output (MIMO) ground moving target indication (GMTI) radar has been studied recently because of its excellent performance. In this paper, a general signal model is established for the MIMO GMTI radar with both fast-time and slow-time waveforms. The general signal model can be...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111759/ https://www.ncbi.nlm.nih.gov/pubmed/30082642 http://dx.doi.org/10.3390/s18082576 |
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author | Li, Fuyou He, Feng Dong, Zhen Wu, Manqing Zhang, Yongsheng |
author_facet | Li, Fuyou He, Feng Dong, Zhen Wu, Manqing Zhang, Yongsheng |
author_sort | Li, Fuyou |
collection | PubMed |
description | Multiple-input multiple-output (MIMO) ground moving target indication (GMTI) radar has been studied recently because of its excellent performance. In this paper, a general signal model is established for the MIMO GMTI radar with both fast-time and slow-time waveforms. The general signal model can be used to evaluate the performance of the MIMO GMTI radar with arbitrary waveforms such as the ideal orthogonal, code division multiple access (CDMA), frequency-division multiple access (FDMA), time division multiple access (TDMA), and Doppler division multiple access (DDMA) waveforms. We proposed a range-compensation method to eliminate the range-dependence of the FDMA waveforms. The simulation results indicate that the improved performance of FDMA waveforms is achieved utilizing the range-compensation method. |
format | Online Article Text |
id | pubmed-6111759 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61117592018-08-30 General Signal Model for Multiple-Input Multiple-Output GMTI Radar Li, Fuyou He, Feng Dong, Zhen Wu, Manqing Zhang, Yongsheng Sensors (Basel) Article Multiple-input multiple-output (MIMO) ground moving target indication (GMTI) radar has been studied recently because of its excellent performance. In this paper, a general signal model is established for the MIMO GMTI radar with both fast-time and slow-time waveforms. The general signal model can be used to evaluate the performance of the MIMO GMTI radar with arbitrary waveforms such as the ideal orthogonal, code division multiple access (CDMA), frequency-division multiple access (FDMA), time division multiple access (TDMA), and Doppler division multiple access (DDMA) waveforms. We proposed a range-compensation method to eliminate the range-dependence of the FDMA waveforms. The simulation results indicate that the improved performance of FDMA waveforms is achieved utilizing the range-compensation method. MDPI 2018-08-06 /pmc/articles/PMC6111759/ /pubmed/30082642 http://dx.doi.org/10.3390/s18082576 Text en © 2018 by the authors. https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) ). |
spellingShingle | Article Li, Fuyou He, Feng Dong, Zhen Wu, Manqing Zhang, Yongsheng General Signal Model for Multiple-Input Multiple-Output GMTI Radar |
title | General Signal Model for Multiple-Input Multiple-Output GMTI Radar |
title_full | General Signal Model for Multiple-Input Multiple-Output GMTI Radar |
title_fullStr | General Signal Model for Multiple-Input Multiple-Output GMTI Radar |
title_full_unstemmed | General Signal Model for Multiple-Input Multiple-Output GMTI Radar |
title_short | General Signal Model for Multiple-Input Multiple-Output GMTI Radar |
title_sort | general signal model for multiple-input multiple-output gmti radar |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111759/ https://www.ncbi.nlm.nih.gov/pubmed/30082642 http://dx.doi.org/10.3390/s18082576 |
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