Title :
Data efficient implementation of UWBWA SAR algorithms
Author :
Rau, Richard ; McClellan, James H.
Author_Institution :
Center for Signal & Image Process., Georgia Inst. of Technol., Atlanta, GA, USA
Abstract :
It is shown that the particular form of the frequency support of raw data and focused imagery obtained from an ultra-wideband, wide beamwidth synthetic aperture radar system can be exploited in nonseparable sampling schemes to reduce the overall amount of raw data samples and image pixels that need to be stored and computed. Furthermore, it is demonstrated that the constant integration angle backprojection (CIAB) image former implicitly applies a fan filter that interpolates raw data sampled on a quincunx grid back onto the underlying rectangular grid. This subtle property of the CIAB has not been exploited so far. It leads to higher quality images with less computational complexity
Keywords :
computational complexity; digital filters; image sampling; interpolation; radar imaging; synthetic aperture radar; CIAB image former; UWBWA SAR algorithms; computational complexity; constant integration angle backprojection image former; data efficient implementation; fan filter; focused imagery; frequency support; image pixels; interpolation; nonseparable sampling schemes; quincunx grid; raw data samples; rectangular grid; ultra-wideband wide beamwidth synthetic aperture radar system; Bandwidth; Focusing; Frequency; Geometry; Grid computing; Image sampling; Radar antennas; Radar scattering; Synthetic aperture radar; Ultra wideband technology;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.757603