Polar format algorithm for SAR imaging with Matlab

被引：4

作者：

Deming, Ross ^{[1
]}

Best, Matthew ^{[2
]}

Farrell, Sean ^{[2
]}

机构：

[1] Solid State Sci Corp, 27-2 Wright Rd, Hollis, NH 03049 USA

[2] Air Force Life Cycle Management Ctr HBDA, Bedford, MA 01731 USA

来源：

ALGORITHMS FOR SYNTHETIC APERTURE RADAR IMAGERY XXI | 2014年 / 9093卷

关键词：

SAR; synthetic aperture radar; radar imaging; polar format algorithm; PFA; Fourier transform; Matlab; RANGE;

D O I：

10.1117/12.2050681

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：20

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