High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm

High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm

In order to solve the problem of high-resolution ISAR imaging under the condition of finite pulses, an improved smoothed L0 norm (SL0) sparse signal reconstruction ISAR imaging algorithm is proposed. Firstly, the ISAR imaging is transformed into the optimization problem of minimum L0 norm. Secondly,...

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Main Authors: Junjie Feng, Yinan Sun, XiuXia Ji
Format: Article
Language:English
Published: Hindawi-Wiley 2021-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2021/5541116
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spelling doaj-5e382a2de4504da890c7b8704262dc362021-04-12T01:23:16ZengHindawi-WileyWireless Communications and Mobile Computing1530-86772021-01-01202110.1155/2021/5541116High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery AlgorithmJunjie Feng0Yinan Sun1XiuXia Ji2School of Physics and Electrical EngineeringWuhan UniversityNanjing Vocational College of Information TechnologyIn order to solve the problem of high-resolution ISAR imaging under the condition of finite pulses, an improved smoothed L0 norm (SL0) sparse signal reconstruction ISAR imaging algorithm is proposed. Firstly, the ISAR imaging is transformed into the optimization problem of minimum L0 norm. Secondly, a single-loop structure is used instead of two loop layers in SL0 algorithm which increases the searching density of variable parameter to ensure the recovery accuracy. Finally, the compared step is added to ensure the optimization solution along the steepest descent gradient direction. The experimental results show that the proposed algorithm has better imaging effect.http://dx.doi.org/10.1155/2021/5541116
collection DOAJ
language English
format Article
sources DOAJ
author Junjie Feng
Yinan Sun
XiuXia Ji
spellingShingle Junjie Feng
Yinan Sun
XiuXia Ji
High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm
Wireless Communications and Mobile Computing
author_facet Junjie Feng
Yinan Sun
XiuXia Ji
author_sort Junjie Feng
title High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm
title_short High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm
title_full High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm
title_fullStr High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm
title_full_unstemmed High-Resolution ISAR Imaging Based on Improved Sparse Signal Recovery Algorithm
title_sort high-resolution isar imaging based on improved sparse signal recovery algorithm
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8677
publishDate 2021-01-01
description In order to solve the problem of high-resolution ISAR imaging under the condition of finite pulses, an improved smoothed L0 norm (SL0) sparse signal reconstruction ISAR imaging algorithm is proposed. Firstly, the ISAR imaging is transformed into the optimization problem of minimum L0 norm. Secondly, a single-loop structure is used instead of two loop layers in SL0 algorithm which increases the searching density of variable parameter to ensure the recovery accuracy. Finally, the compared step is added to ensure the optimization solution along the steepest descent gradient direction. The experimental results show that the proposed algorithm has better imaging effect.
url http://dx.doi.org/10.1155/2021/5541116
work_keys_str_mv AT junjiefeng highresolutionisarimagingbasedonimprovedsparsesignalrecoveryalgorithm
AT yinansun highresolutionisarimagingbasedonimprovedsparsesignalrecoveryalgorithm
AT xiuxiaji highresolutionisarimagingbasedonimprovedsparsesignalrecoveryalgorithm
_version_ 1714683085058998272

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