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