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...

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Main Authors: Fanglei Cheng, Hongyu Wang, Yang Li
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
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.
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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
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AT hongyuwang compressivesensingbasedsuperresolutiondoaestimationformechanicalscanningradar
AT yangli compressivesensingbasedsuperresolutiondoaestimationformechanicalscanningradar