DocumentCode :
2785249
Title :
Computationally efficient resampling of nonuniform oversampled SAR data
Author :
Goldman, Geoffrey H.
Author_Institution :
Signal & Image Process. Div., U.S. Army Res. Lab., Adelphi, MD, USA
fYear :
2010
fDate :
10-14 May 2010
Firstpage :
70
Lastpage :
74
Abstract :
A computationally efficient technique is developed to resample SAR data oversampled in the slow-time domain for a platform accelerating along the track. The algorithm segments the data between uniformly spaced points on the synthetic aperture, then performs a weighted average on the demodulated SAR data in each segment to adjust the effective sample position on the aperture. The weighting is derived using a first-order Taylor series approximation and used parameters from the velocity and acceleration of the platform and the radar waveform.
Keywords :
approximation theory; radar signal processing; series (mathematics); synthetic aperture radar; time-domain analysis; demodulated SAR data; first-order Taylor series approximation; nonuniform oversampled SAR data; radar waveform; uniformly spaced points; Acceleration; Change detection algorithms; Image reconstruction; Image segmentation; Military computing; Radar tracking; Robots; Signal processing algorithms; Synthetic aperture radar; Unmanned aerial vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
ISSN :
1097-5659
Print_ISBN :
978-1-4244-5811-0
Type :
conf
DOI :
10.1109/RADAR.2010.5494649
Filename :
5494649
Link To Document :
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