DocumentCode
3406517
Title
Self-calibrated method for distributed small satellite SAR systems
Author
Qing, Xu ; Guisheng, Liao ; Aifei, Liu ; Juan, Zhang
Author_Institution
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
2083
Lastpage
2086
Abstract
In practice, the performance of the Distributed small satellite synthetic aperture radar (DSS-SAR) systems is affected seriously by the unavoidable array errors. In this paper, the phase and position errors are considered with the gain error calibrated by the adaptive processing. The clutter echo usually has Doppler (azimuth) ambiguities which is caused by lower pulse repetition frequency (PRF) in such systems. The array error estimation method is given based on the Doppler ambiguities. By analyzing the conventional method in which the phase error and the position error are estimated by iterating between each other, we And that: the steering vector of one Doppler ambiguity associated with the zero Doppler bin is conjugate to its opposite one. So the phase error can be directly obtained though the position error exists. The proposed method is given based on this. It estimates and the position error independently without iterations between them. The proposed method can performs approximately as well as the conventional method but with less computation load. Simulations can verify its effectiveness.
Keywords
Doppler radar; adaptive signal processing; calibration; error analysis; radar clutter; satellite communication; synthetic aperture radar; Doppler ambiguities; SAR; adaptive processing; array error estimation; clutter echo; distributed small satellite systems; phase error estimation; position error estimation; pulse repetition frequency; self-calibrated method; synthetic aperture radar; Arrays; Azimuth; Decision support systems; Doppler effect; Satellites; Spaceborne radar; Synthetic aperture radar; Array signal processing; distributed small satellite synthetic aperture radar (DSS-SAR) systems; error estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5656035
Filename
5656035
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