Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation

This paper presents a new SAR ground moving target imaging (GMTIm) algorithm based on an unified framework of Keystone transformation (KT). To combat the inherent range-azimuth coupling, an tandem two-step strategy is designed, where the range decoupling is implemented by polar format algorithm...

Full description

Bibliographic Details
Main Authors: Yang, Lei, Zhao, Lifan, Wang, Lu, Bi, Guoan
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/82897
http://hdl.handle.net/10220/40377
_version_ 1826130742310076416
author Yang, Lei
Zhao, Lifan
Wang, Lu
Bi, Guoan
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yang, Lei
Zhao, Lifan
Wang, Lu
Bi, Guoan
author_sort Yang, Lei
collection NTU
description This paper presents a new SAR ground moving target imaging (GMTIm) algorithm based on an unified framework of Keystone transformation (KT). To combat the inherent range-azimuth coupling, an tandem two-step strategy is designed, where the range decoupling is implemented by polar format algorithm (PFA) and the azimuth decoupling is finished by an novel time-frequency representation method that is Lv’s distribution (LVD). We show, mathematically, that the azimuth resampling of PFA has inherently the same mechanism as the KT, and also, the LVD achieves the optimal performance when it is performed in accordance with the KT principle. Therefore, multiple moving targets can be imaged simultaneously. Focused targets’ responses can be obtained in both range and azimuth dimensions. Isotropic point target simulation is designed, and experiments are carried out to validate our proposed SAR-GMTIm algorithm.
first_indexed 2024-10-01T08:00:50Z
format Conference Paper
id ntu-10356/82897
institution Nanyang Technological University
language English
last_indexed 2024-10-01T08:00:50Z
publishDate 2016
record_format dspace
spelling ntu-10356/828972020-03-07T13:24:44Z Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation Yang, Lei Zhao, Lifan Wang, Lu Bi, Guoan School of Electrical and Electronic Engineering 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Synthetic aperture radar (SAR) ground moving target imaging Keystone transformation polar format algorithm Lv’s distribution This paper presents a new SAR ground moving target imaging (GMTIm) algorithm based on an unified framework of Keystone transformation (KT). To combat the inherent range-azimuth coupling, an tandem two-step strategy is designed, where the range decoupling is implemented by polar format algorithm (PFA) and the azimuth decoupling is finished by an novel time-frequency representation method that is Lv’s distribution (LVD). We show, mathematically, that the azimuth resampling of PFA has inherently the same mechanism as the KT, and also, the LVD achieves the optimal performance when it is performed in accordance with the KT principle. Therefore, multiple moving targets can be imaged simultaneously. Focused targets’ responses can be obtained in both range and azimuth dimensions. Isotropic point target simulation is designed, and experiments are carried out to validate our proposed SAR-GMTIm algorithm. Accepted version 2016-04-07T08:34:31Z 2019-12-06T15:07:47Z 2016-04-07T08:34:31Z 2019-12-06T15:07:47Z 2015 Conference Paper Yang, L., Zhao, L., Wang, L., & Bi, G. (2015). Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation. 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://hdl.handle.net/10356/82897 http://hdl.handle.net/10220/40377 10.1109/ICASSP.2015.7178473 en © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/ICASSP.2015.7178473]. 5 p. application/pdf
spellingShingle Synthetic aperture radar (SAR)
ground moving target imaging
Keystone transformation
polar format algorithm
Lv’s distribution
Yang, Lei
Zhao, Lifan
Wang, Lu
Bi, Guoan
Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation
title Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation
title_full Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation
title_fullStr Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation
title_full_unstemmed Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation
title_short Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation
title_sort ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation
topic Synthetic aperture radar (SAR)
ground moving target imaging
Keystone transformation
polar format algorithm
Lv’s distribution
url https://hdl.handle.net/10356/82897
http://hdl.handle.net/10220/40377
work_keys_str_mv AT yanglei groundmovingtargetimagingbysyntheticapertureradarbasedonanunifiedframeworkofkeystonetransformation
AT zhaolifan groundmovingtargetimagingbysyntheticapertureradarbasedonanunifiedframeworkofkeystonetransformation
AT wanglu groundmovingtargetimagingbysyntheticapertureradarbasedonanunifiedframeworkofkeystonetransformation
AT biguoan groundmovingtargetimagingbysyntheticapertureradarbasedonanunifiedframeworkofkeystonetransformation