Compressed Sensing-Based DOA Estimation With Antenna Phase Errors
In array signal processing, the direction of arrivals (DOAs) of the received signals are estimatedby measuring the relative phases among antennas; hence, the estimation performance is reducedby the inconsistency among antennas. In this paper, the DOA estimation problem of the uniformlinear array (UL...
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MDPI AG
2019-03-01
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Online Access: | http://www.mdpi.com/2079-9292/8/3/294 |
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author | Linxi Liu Xuan Zhang Peng Chen |
author_facet | Linxi Liu Xuan Zhang Peng Chen |
author_sort | Linxi Liu |
collection | DOAJ |
description | In array signal processing, the direction of arrivals (DOAs) of the received signals are estimatedby measuring the relative phases among antennas; hence, the estimation performance is reducedby the inconsistency among antennas. In this paper, the DOA estimation problem of the uniformlinear array (ULA) is investigated in the scenario with phase errors among the antennas, and adiagonal matrix composed of phase errors is used to formulate the system model. Then, by using thecompressed sensing (CS) theory, we convert the DOA estimation problem into a sparse reconstructionproblem. A novel reconstruction method is proposed to estimate both the DOA and the unknownphase errors, iteratively. The phase errors are calculated by a gradient descent method with thetheoretical expressions. Simulation results show that the proposed method is cost-efficient andoutperforms state-of-the-art methods regarding the DOA estimation with unknown phase errors. |
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format | Article |
id | doaj.art-ef17039fd603477ebca8b1bbf1b1b312 |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-04-11T11:54:46Z |
publishDate | 2019-03-01 |
publisher | MDPI AG |
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series | Electronics |
spelling | doaj.art-ef17039fd603477ebca8b1bbf1b1b3122022-12-22T04:25:12ZengMDPI AGElectronics2079-92922019-03-018329410.3390/electronics8030294electronics8030294Compressed Sensing-Based DOA Estimation With Antenna Phase ErrorsLinxi Liu0Xuan Zhang1Peng Chen2School of Information Science and Engineering, Southeast University, Nanjing 211189, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing 211189, ChinaState Key Laboratory of Millimeter Waves, Southeast University, Nanjing 210096, ChinaIn array signal processing, the direction of arrivals (DOAs) of the received signals are estimatedby measuring the relative phases among antennas; hence, the estimation performance is reducedby the inconsistency among antennas. In this paper, the DOA estimation problem of the uniformlinear array (ULA) is investigated in the scenario with phase errors among the antennas, and adiagonal matrix composed of phase errors is used to formulate the system model. Then, by using thecompressed sensing (CS) theory, we convert the DOA estimation problem into a sparse reconstructionproblem. A novel reconstruction method is proposed to estimate both the DOA and the unknownphase errors, iteratively. The phase errors are calculated by a gradient descent method with thetheoretical expressions. Simulation results show that the proposed method is cost-efficient andoutperforms state-of-the-art methods regarding the DOA estimation with unknown phase errors.http://www.mdpi.com/2079-9292/8/3/294compressed sensingDOA estimationphase errorsSOMP |
spellingShingle | Linxi Liu Xuan Zhang Peng Chen Compressed Sensing-Based DOA Estimation With Antenna Phase Errors Electronics compressed sensing DOA estimation phase errors SOMP |
title | Compressed Sensing-Based DOA Estimation With
Antenna Phase Errors |
title_full | Compressed Sensing-Based DOA Estimation With
Antenna Phase Errors |
title_fullStr | Compressed Sensing-Based DOA Estimation With
Antenna Phase Errors |
title_full_unstemmed | Compressed Sensing-Based DOA Estimation With
Antenna Phase Errors |
title_short | Compressed Sensing-Based DOA Estimation With
Antenna Phase Errors |
title_sort | compressed sensing based doa estimation with antenna phase errors |
topic | compressed sensing DOA estimation phase errors SOMP |
url | http://www.mdpi.com/2079-9292/8/3/294 |
work_keys_str_mv | AT linxiliu compressedsensingbaseddoaestimationwithantennaphaseerrors AT xuanzhang compressedsensingbaseddoaestimationwithantennaphaseerrors AT pengchen compressedsensingbaseddoaestimationwithantennaphaseerrors |