DocumentCode :
1439270
Title :
Exact analytical two-dimensional spectrum for bistatic synthetic aperture radar in tandem configuration
Author :
Wu, Qingyao ; Xing, Mengdao ; Shi, Hongyu ; Hu, Xiaonan ; Bao, Zhen
Author_Institution :
Key Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Volume :
5
Issue :
3
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
349
Lastpage :
360
Abstract :
An exact analytical solution for the two-dimensional (2-D) point target spectrum is usually difficult to obtain because of the existence of a double-square-root (DSR) term in the bistatic range equation. Some approximate solutions for the 2-D spectrum have been derived and used in order to focus bistatic synthetic aperture data. A geometry-based bistatic formula (GBF) method was used for obtaining a quasi-analytical form of a bistatic 2-D spectrum by Zhang (2007). Although the GBF method cannot completely solve the problem of the DSR term, it provides a novel aspect for dealing with this problem. In this study, based on the quasi-analytical spectrum, the authors change the signal expression space and transform the eight-order polynomial equation in terms of the slow time into the four-order polynomial equation in terms of the half quasi-bistatic angle (HQBA) for the tandem configuration. Then the DSR-term problem is successfully solved and a corresponding exact analytical bistatic 2-D spectrum is obtained. It is proved that the spectra acquired by Rocca´s smile operator, Loffeld´s bistatic formula (LBF) and the method of series reversion (MSR) are equivalent to this proposed analytical spectrum when certain conditions are met, and that this exact analytical spectrum is the most accurate among them.
Keywords :
mean square error methods; polynomials; series (mathematics); synthetic aperture radar; 2D point target spectrum; SAR; bistatic synthetic aperture radar; double square root term; eight-order polynomial equation; half quasibistatic angle; method-of-series reversion; tandem configuration;
fLanguage :
English
Journal_Title :
Radar, Sonar & Navigation, IET
Publisher :
iet
ISSN :
1751-8784
Type :
jour
DOI :
10.1049/iet-rsn.2010.0096
Filename :
5704839
Link To Document :
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