MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing

MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing

To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed se...

Full description

Bibliographic Details
Main Authors: Feng Liu, Shanxiang Mu, Wanghan Lv
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/9310865
id doaj-abdc998997584b5d914d7a17b805f9f2
record_format Article
spelling doaj-abdc998997584b5d914d7a17b805f9f22020-11-24T23:41:45ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/93108659310865MIMO SAR Imaging for Wide-Swath Based on Compressed SensingFeng Liu0Shanxiang Mu1Wanghan Lv2School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaSchool of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, ChinaTo reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS). Echo model of sparse array in range and compressive sampling is reconstructed with CS theory. Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit. Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively. Comprehensive numerical simulation examples are performed. Its validity and practicality are validated by simulations.http://dx.doi.org/10.1155/2017/9310865
collection DOAJ
language English
format Article
sources DOAJ
author Feng Liu
Shanxiang Mu
Wanghan Lv
spellingShingle Feng Liu
Shanxiang Mu
Wanghan Lv
MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing
Mathematical Problems in Engineering
author_facet Feng Liu
Shanxiang Mu
Wanghan Lv
author_sort Feng Liu
title MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing
title_short MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing
title_full MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing
title_fullStr MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing
title_full_unstemmed MIMO SAR Imaging for Wide-Swath Based on Compressed Sensing
title_sort mimo sar imaging for wide-swath based on compressed sensing
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description To reduce the amount of data to be stored and software/hardware complexity and suppress range ambiguity, a novel MIMO SAR imaging based on compressed sensing is proposed under the condition of wide-swath imaging. Random phase orthogonal waveform (RPOW) is designed for MIMO SAR based on compressed sensing (CS). Echo model of sparse array in range and compressive sampling is reconstructed with CS theory. Resolution in range imaging is improved by using the techniques of digital beamforming (DBF) in transmit. Zero-point technique based on CS is proposed with DBF in receive and the range ambiguity is suppressed effectively. Comprehensive numerical simulation examples are performed. Its validity and practicality are validated by simulations.
url http://dx.doi.org/10.1155/2017/9310865
work_keys_str_mv AT fengliu mimosarimagingforwideswathbasedoncompressedsensing
AT shanxiangmu mimosarimagingforwideswathbasedoncompressedsensing
AT wanghanlv mimosarimagingforwideswathbasedoncompressedsensing
_version_ 1725505545093251072

Similar Items