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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...

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Detalles Bibliográficos
Autores principales: Li, Zeyang, Shi, Junpeng, Wang, Xinhai, Wen, Fangqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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AT wangxinhai jointangleandfrequencyestimationusingonebitmeasurements
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