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Joint Angle and Frequency Estimation Using One-Bit Measurements
Joint angle and frequency estimation is an important branch in array signal processing with numerous applications in radar, sonar, wireless communications, etc. Extensive attention has been paid and numerous algorithms have been developed. However, existing algorithms rely on accurately quantified m...
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/PMC6961034/ https://www.ncbi.nlm.nih.gov/pubmed/31835343 http://dx.doi.org/10.3390/s19245422 |
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author | Li, Zeyang Shi, Junpeng Wang, Xinhai Wen, Fangqing |
author_facet | Li, Zeyang Shi, Junpeng Wang, Xinhai Wen, Fangqing |
author_sort | Li, Zeyang |
collection | PubMed |
description | Joint angle and frequency estimation is an important branch in array signal processing with numerous applications in radar, sonar, wireless communications, etc. Extensive attention has been paid and numerous algorithms have been developed. However, existing algorithms rely on accurately quantified measurements. In this paper, we stress the problem of angle and frequency estimation for sensor arrays using one-bit measurements. The relationship between the covariance matrices of one-bit measurement and that of the accurately quantified measurement is extended to the tensor domain. Moreover, a one-bit parallel factor analysis (PARAFAC) estimator is proposed. The simulation results show that the angle and frequency estimation can be quickly achieved and correctly paired. |
format | Online Article Text |
id | pubmed-6961034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69610342020-01-24 Joint Angle and Frequency Estimation Using One-Bit Measurements Li, Zeyang Shi, Junpeng Wang, Xinhai Wen, Fangqing Sensors (Basel) Article Joint angle and frequency estimation is an important branch in array signal processing with numerous applications in radar, sonar, wireless communications, etc. Extensive attention has been paid and numerous algorithms have been developed. However, existing algorithms rely on accurately quantified measurements. In this paper, we stress the problem of angle and frequency estimation for sensor arrays using one-bit measurements. The relationship between the covariance matrices of one-bit measurement and that of the accurately quantified measurement is extended to the tensor domain. Moreover, a one-bit parallel factor analysis (PARAFAC) estimator is proposed. The simulation results show that the angle and frequency estimation can be quickly achieved and correctly paired. MDPI 2019-12-09 /pmc/articles/PMC6961034/ /pubmed/31835343 http://dx.doi.org/10.3390/s19245422 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 Li, Zeyang Shi, Junpeng Wang, Xinhai Wen, Fangqing Joint Angle and Frequency Estimation Using One-Bit Measurements |
title | Joint Angle and Frequency Estimation Using One-Bit Measurements |
title_full | Joint Angle and Frequency Estimation Using One-Bit Measurements |
title_fullStr | Joint Angle and Frequency Estimation Using One-Bit Measurements |
title_full_unstemmed | Joint Angle and Frequency Estimation Using One-Bit Measurements |
title_short | Joint Angle and Frequency Estimation Using One-Bit Measurements |
title_sort | joint angle and frequency estimation using one-bit measurements |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6961034/ https://www.ncbi.nlm.nih.gov/pubmed/31835343 http://dx.doi.org/10.3390/s19245422 |
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