Open Access System for Information Sharing

Login Library

 

Article
Cited 29 time in webofscience Cited 37 time in scopus
Metadata Downloads

Ground Moving Target Imaging Based on Compressive Sensing Framework With Single-Channel SAR SCIE SCOPUS

Title
Ground Moving Target Imaging Based on Compressive Sensing Framework With Single-Channel SAR
Authors
Min-Seok KangKIM, KYUNG TAE
Date Issued
2020-02-01
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Abstract
Ground moving target imaging (GMTIm) is considered one of the most important applications of synthetic aperture radar (SAR). Phase modulation from a moving target's higher- order movements severely degrades the focusing quality of SAR images, because the conventional SAR-GMTIm algorithm assumes a constant target velocity in high-resolution GMTIm with single channel SAR. To solve this problem, a novel SAR-GMTIm algorithm in the compressive sensing (CS) framework is proposed to obtain high-resolution SAR images with highly focused responses and accurate relocation. After taking direct action on data in the defocused region of interest (ROI) from the entire image scene, CS theory is used to decompose an SAR-GMTIm signal into a set of the polynomial basis functions to remove the various phase errors related to higher- order movements. A modifie dorthogonal matching pursuit(MOMP)-type basis function-searching scheme is adopted to determine the motion parameter and reconstruct the sensing dictionary matrix. We can generate a refocused image of SAR-GMTIm from the complete SAR-GMTIm signal recovered using the proposed method. Finally, simulated and real measured SAR data are used to validate the effectiveness and superiority of the proposed method for SAR-GMTIm.
Keywords
MOTION PARAMETER-ESTIMATION; KEYSTONE TRANSFORM; MANEUVERING TARGETS; ISAR; ALGORITHM; AUTOFOCUS; GEOMETRY
URI
https://oasis.postech.ac.kr/handle/2014.oak/103074
DOI
10.1109/JSEN.2019.2947114
ISSN
1530-437X
Article Type
Article
Citation
IEEE SENSORS JOURNAL, vol. 20, no. 3, page. 1238 - 1250, 2020-02-01
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

김경태KIM, KYUNG TAE
Dept of Electrical Enginrg
Read more

Views & Downloads

Browse