Polar format algorithm for SAR imaging with Matlab

Ross Deming; Matthew Best; Sean Farrell

doi:10.1117/12.2050681

13 June 2014 Polar format algorithm for SAR imaging with Matlab

Ross Deming, Matthew Best, Sean Farrell

Proceedings Volume 9093, Algorithms for Synthetic Aperture Radar Imagery XXI; 909306 (2014) https://doi.org/10.1117/12.2050681
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

Citation Download Citation

Ross Deming, Matthew Best, and Sean Farrell "Polar format algorithm for SAR imaging with Matlab", Proc. SPIE 9093, Algorithms for Synthetic Aperture Radar Imagery XXI, 909306 (13 June 2014); https://doi.org/10.1117/12.2050681

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