DocumentCode
3714851
Title
ISAR imaging of multiple targets based on sparse representations
Author
Xiao Dong; Yunhua Zhang; Xiang Gu; Wenshuai Zhai
Author_Institution
The Key Laboratory of Microwave Remote Sensing, Chinese Academy of Sciences, Center for Space Science and Applied Research, Chinese Academy of Sciences, Beijing 100190, China
fYear
2015
Firstpage
1
Lastpage
4
Abstract
This paper proposes a new method for inverse synthetic aperture radar (ISAR) imaging of multiple targets based on sparse representations. The proposed method includes three steps: (1) coarse estimation of the radial velocities of the targets using Radon transform; (2) signal separation of different targets using sparse representation (SR) method; (3) refocusing of each targets using traditional range-Doppler algorithm. The effectiveness of the proposed method is verified using real ISAR data.
Keywords
"Radar imaging","Doppler effect","Imaging","Radon","Transforms","Trajectory"
Publisher
ieee
Conference_Titel
Microwaves, Communications, Antennas and Electronic Systems (COMCAS), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/COMCAS.2015.7360459
Filename
7360459
Link To Document