Precision SAR Processing Using Chirp Scaling

R. Keith Raney, H. Runge, Richard Bamler, Frank H. Wong

Research output: Contribution to journalArticlepeer-review

951 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)786-799
Number of pages14
JournalIEEE Transactions on Geoscience and Remote Sensing
Volume32
Issue number4
DOIs
StatePublished - Jul 1994
Externally publishedYes

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