Recursive SAR imaging

Randolph L. Moses; Joshua N. Ash

doi:10.1117/12.786307

15 April 2008 Recursive SAR imaging

Randolph L. Moses, Joshua N. Ash

Proceedings Volume 6970, Algorithms for Synthetic Aperture Radar Imagery XV; 69700P (2008) https://doi.org/10.1117/12.786307
Event: SPIE Defense and Security Symposium, 2008, Orlando, Florida, United States

Abstract

We investigate a recursive procedure for synthetic aperture imaging. We consider a concept in which a SAR system persistently interrogates a scene, for example as it flies along or around that scene. In traditional SAR imaging, the radar measurements are processed in blocks, by partitioning the data into a set of non-overlapping or overlapping azimuth angles, then processing each block. We consider a recursive update approach, in which the SAR image is continually updated, as a linear combination of a small number of previous images and a term containing the current radar measurement. We investigate the crossrange sidelobes realized by such an imaging approach. We show that a first-order autoregression of the image gives crossrange sidelobes similar to a rectangular azimuth window, while a third-order autoregression gives sidelobes comparable to those obtained from widely-used windows in block-processing image formation. The computational and memory requirements of the recursive imaging approach are modest - on the order of M • N² where M is the recursion order (typically ≤ 3) and N² is the image size. We compare images obtained from the recursive and block processing techniques, both for a synthetic scene and for X-band SAR measurements from the Gotcha data set.

Citation Download Citation

Randolph L. Moses and Joshua N. Ash "Recursive SAR imaging", Proc. SPIE 6970, Algorithms for Synthetic Aperture Radar Imagery XV, 69700P (15 April 2008); https://doi.org/10.1117/12.786307

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