DocumentCode
3025870
Title
A refined three-step focusing algorithm based on spatial variation characteristic of spaceborne sliding spotlight SAR
Author
Wei-jie Wang ; Chun-sheng Li ; Peng-bo Wang ; Jian Zhou ; Wei Yang ; Jie Chen
Author_Institution
Sch. of Electron. & Inf. Eng., Beihang Univ., Beijing, China
fYear
2013
fDate
21-26 July 2013
Firstpage
927
Lastpage
929
Abstract
This paper deals with the problem of azimuth imaging worsening when three-step focusing algorithm fulfills imaging requirements of sliding spotlight SAR with wide azimuth swath. This is caused by spaceborne sliding spotlight SAR spatial variation characteristic: single point target´s relatively large range cell migration and azimuth point targets´ different Doppler experiences at different azimuth locations. To solve this problem phase error introduced by the equivalent strabismus model is compensated and the reference Doppler rate in the first step of TSFA is modified. A comparison of the imaging results to one azimuth 15km swath scene between refined TSFA and original TSFA is exhibited through simulations. The results prove that refined TSFA is able to get consistent good azimuth imaging quality of wide swath scene.
Keywords
Doppler radar; error compensation; focusing; natural scenes; radar imaging; spaceborne radar; synthetic aperture radar; TSFA; azimuth imaging quality; azimuth location; azimuth point target; azimuth swath; equivalent strabismus model; imaging requirement; phase error compensation; range cell migration; reference Doppler rate; spaceborne sliding spotlight SAR; spatial variation characteristic; swath scene; three step focusing algorithm; Azimuth; Doppler effect; Focusing; Mathematical model; Satellites; Synthetic aperture radar; Synthetic aperture radar (SAR); curve fitting; sliding spotlight SAR; spatial variation characteristic; three-step focusing algorithm(TSFA);
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location
Melbourne, VIC
ISSN
2153-6996
Print_ISBN
978-1-4799-1114-1
Type
conf
DOI
10.1109/IGARSS.2013.6721312
Filename
6721312
Link To Document