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Proceedings Paper

Polar format algorithm for SAR imaging with Matlab
Author(s): Ross Deming; Matthew Best; Sean Farrell
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Paper Abstract

Due to its computational efficiency, the polar format algorithm (PFA) is considered by many to be the workhorse for airborne synthetic aperture radar (SAR) imaging. PFA is implemented in spatial Fourier space, also known as “K-space”, which is a convenient domain for understanding SAR performance metrics, sampling requirements, etc. In this paper the mathematics behind PFA are explained and computed examples are presented, both using simulated data, and experimental airborne radar data from the Air Force Research Laboratory (AFRL) Gotcha Challenge collect. In addition, a simple graphical method is described that can be used to model and predict wavefront curvature artifacts in PFA imagery, which are due to the limited validity of the underlying far-field approximation. The appendix includes Matlab code for computing SAR images using PFA.

Paper Details

Date Published: 13 June 2014
PDF: 20 pages
Proc. SPIE 9093, Algorithms for Synthetic Aperture Radar Imagery XXI, 909306 (13 June 2014); doi: 10.1117/12.2050681
Show Author Affiliations
Ross Deming, Solid State Scientific Corp. (United States)
Matthew Best, Air Force Life Cycle Management Ctr. (United States)
Sean Farrell, Air Force Life Cycle Management Ctr. (United States)


Published in SPIE Proceedings Vol. 9093:
Algorithms for Synthetic Aperture Radar Imagery XXI
Edmund Zelnio; Frederick D. Garber, Editor(s)

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