TY - JOUR
T1 - Precision SAR Processing Using Chirp Scaling
AU - Raney, R. Keith
AU - Runge, H.
AU - Bamler, Richard
AU - Wong, Frank H.
PY - 1994/7
Y1 - 1994/7
N2 - A space-variant interpolation is required to compensate for the migration of signal energy through range resolution cells when processing synthetic aperture radar (SAR) data, using either the classical range/Doppler (R/D) algorithm or related frequency domain techniques. In general, interpolation. requires significant computation time, and leads to loss of image quality, especially in the complex image. The new chirp scaling algorithm avoids interpolation, yet performs range cell migration correction accurately. The algorithm requires only complex multiplies and Fourier transforms to implement, is inherently phase preserving, and is suitable for wide-swath, large-beamwidth, and large-squint applications. This paper describes the chirp scaling algorithm, summarizes simulation results, presents imagery processed with the algorithm, and reviews quantitative measures of its performance. Based on quantitative comparison, the chirp scaling algorithm provides image quality equal to or better than the precision range/ Doppler processor. Over the range of parameters tested, image quality results approach the theoretical limit, as defined by the system bandwidth.
AB - A space-variant interpolation is required to compensate for the migration of signal energy through range resolution cells when processing synthetic aperture radar (SAR) data, using either the classical range/Doppler (R/D) algorithm or related frequency domain techniques. In general, interpolation. requires significant computation time, and leads to loss of image quality, especially in the complex image. The new chirp scaling algorithm avoids interpolation, yet performs range cell migration correction accurately. The algorithm requires only complex multiplies and Fourier transforms to implement, is inherently phase preserving, and is suitable for wide-swath, large-beamwidth, and large-squint applications. This paper describes the chirp scaling algorithm, summarizes simulation results, presents imagery processed with the algorithm, and reviews quantitative measures of its performance. Based on quantitative comparison, the chirp scaling algorithm provides image quality equal to or better than the precision range/ Doppler processor. Over the range of parameters tested, image quality results approach the theoretical limit, as defined by the system bandwidth.
UR - http://www.scopus.com/inward/record.url?scp=0028463736&partnerID=8YFLogxK
U2 - 10.1109/36.298008
DO - 10.1109/36.298008
M3 - Article
AN - SCOPUS:0028463736
SN - 0196-2892
VL - 32
SP - 786
EP - 799
JO - IEEE Transactions on Geoscience and Remote Sensing
JF - IEEE Transactions on Geoscience and Remote Sensing
IS - 4
ER -