Image formation from squint mode synthetic aperture radar (SAR) is limited by image degradations caused by neglecting the range-variant filtering required by secondary range compression (SRC). Introduced here is a nonlinear FM chirp scaling, an extension of the chirp scaling algorithm, as an efficient and accurate approach to range variant SRC. Two methods of implementing the approach are described. The nonlinear FM filtering method is more accurate but adds a filtering step to the chirp scaling algorithm, although the extra computation is less than that of a time domain residual compression filter. The nonlinear FM pulse method consists of changing the phase modulation of the transmitted pulse, thus avoiding an increase in computation. Simulations show both methods significantly improve resolution width and sidelobe level, compared with existing SAR processors for squint angles above 10 deg for L-band and 20 deg for C-band.
A chirp scaling approach for processing squint mode SAR data
IEEE Transactions on Aerospace and Electronic Systems ; 32 , 1 ; 121-133
1996-01-01
3362294 byte
Article (Journal)
Electronic Resource
English
A Chirp Scaling Approach for Processing Squint Mode SAR Data
Online Contents | 1996
|Squint Mode SAR Processing Using RD Algorithm
British Library Conference Proceedings | 1997
|A SAR Processing Algorithm for TOPS Imaging Mode Based on Extended Chirp Scaling
German Aerospace Center (DLR) | 2007
|A New Two-Dimensional Squint Mode SAR Processor
Online Contents | 1996
|