Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar
This study presents a novel super-resolution directions of arrival (DOA) estimation method for mechanical scanning radar by using the advanced compressive sensing algorithm. This method is implemented by constructing a signal model of the mechanical scanning radar through imitating the array radar s...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Wiley
2019-10-01
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Series: | The Journal of Engineering |
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Online Access: | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0724 |
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author | Fanglei Cheng Hongyu Wang Yang Li |
author_facet | Fanglei Cheng Hongyu Wang Yang Li |
author_sort | Fanglei Cheng |
collection | DOAJ |
description | This study presents a novel super-resolution directions of arrival (DOA) estimation method for mechanical scanning radar by using the advanced compressive sensing algorithm. This method is implemented by constructing a signal model of the mechanical scanning radar through imitating the array radar signal model. Also then it established the compression relationship between the transmitted and received echo signals of the reader by sparsification technique of sending signals. Finally, the DOA estimation can be solved by employing advanced compressive sensing algorithm including basic pursuit (BP), orthogonal matching pursuit (OMP), regularised orthogonal matching pursuit algorithms and so on. Compared with the conventional super-resolution DOA estimation method such as multiple signal classification, the proposed method can distinguish two or more targets within one beamwidth more precisely. Compared with the earlier super-resolution DOA estimation method such as maximum likelihood, the proposed method can obtain more accurate and robust angle difference estimation and do not need to previously know the source number. Both simulated and experimental results show that the overall performance of the proposed DOA estimation is better than that of other methods. |
first_indexed | 2024-12-14T14:31:16Z |
format | Article |
id | doaj.art-c64ad2716f7e494b92a855de7e9fd1df |
institution | Directory Open Access Journal |
issn | 2051-3305 |
language | English |
last_indexed | 2024-12-14T14:31:16Z |
publishDate | 2019-10-01 |
publisher | Wiley |
record_format | Article |
series | The Journal of Engineering |
spelling | doaj.art-c64ad2716f7e494b92a855de7e9fd1df2022-12-21T22:57:47ZengWileyThe Journal of Engineering2051-33052019-10-0110.1049/joe.2019.0724JOE.2019.0724Compressive sensing-based super-resolution DOA estimation for mechanical scanning radarFanglei Cheng0Hongyu Wang1Yang Li2Beijing Institute of TechnologyBeijing Institute of TechnologyBeijing Institute of TechnologyThis study presents a novel super-resolution directions of arrival (DOA) estimation method for mechanical scanning radar by using the advanced compressive sensing algorithm. This method is implemented by constructing a signal model of the mechanical scanning radar through imitating the array radar signal model. Also then it established the compression relationship between the transmitted and received echo signals of the reader by sparsification technique of sending signals. Finally, the DOA estimation can be solved by employing advanced compressive sensing algorithm including basic pursuit (BP), orthogonal matching pursuit (OMP), regularised orthogonal matching pursuit algorithms and so on. Compared with the conventional super-resolution DOA estimation method such as multiple signal classification, the proposed method can distinguish two or more targets within one beamwidth more precisely. Compared with the earlier super-resolution DOA estimation method such as maximum likelihood, the proposed method can obtain more accurate and robust angle difference estimation and do not need to previously know the source number. Both simulated and experimental results show that the overall performance of the proposed DOA estimation is better than that of other methods.https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0724direction-of-arrival estimationcompressed sensingradar resolutionradar receiversradar transmittersmechanical scanning radararrival estimation methodadvanced compressive sensing algorithmarray radar signal modelregularised orthogonal matching pursuit algorithmsmultiple signal classificationrobust angle difference estimationreceived echo signal transmissioncompressive sensing-based super-resolution doa estimation methoddirections of arrival estimation methodreceived echo signal receiversparsification techniquebp algorithmbasic pursuit algorithmomp algorithmorthogonal matching pursuit algorithmmaximum likelihood method |
spellingShingle | Fanglei Cheng Hongyu Wang Yang Li Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar The Journal of Engineering direction-of-arrival estimation compressed sensing radar resolution radar receivers radar transmitters mechanical scanning radar arrival estimation method advanced compressive sensing algorithm array radar signal model regularised orthogonal matching pursuit algorithms multiple signal classification robust angle difference estimation received echo signal transmission compressive sensing-based super-resolution doa estimation method directions of arrival estimation method received echo signal receiver sparsification technique bp algorithm basic pursuit algorithm omp algorithm orthogonal matching pursuit algorithm maximum likelihood method |
title | Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar |
title_full | Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar |
title_fullStr | Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar |
title_full_unstemmed | Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar |
title_short | Compressive sensing-based super-resolution DOA estimation for mechanical scanning radar |
title_sort | compressive sensing based super resolution doa estimation for mechanical scanning radar |
topic | direction-of-arrival estimation compressed sensing radar resolution radar receivers radar transmitters mechanical scanning radar arrival estimation method advanced compressive sensing algorithm array radar signal model regularised orthogonal matching pursuit algorithms multiple signal classification robust angle difference estimation received echo signal transmission compressive sensing-based super-resolution doa estimation method directions of arrival estimation method received echo signal receiver sparsification technique bp algorithm basic pursuit algorithm omp algorithm orthogonal matching pursuit algorithm maximum likelihood method |
url | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0724 |
work_keys_str_mv | AT fangleicheng compressivesensingbasedsuperresolutiondoaestimationformechanicalscanningradar AT hongyuwang compressivesensingbasedsuperresolutiondoaestimationformechanicalscanningradar AT yangli compressivesensingbasedsuperresolutiondoaestimationformechanicalscanningradar |