Study of Compressive Sensing for Tomographic Processing in Satellite (SAR) Systems

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Authors
  1. Kirkland, D.
Corporate Authors
Defence Research and Development Canada, Ottawa Research Centre, Ottawa ON (CAN)
Abstract
Tomographic processing involves coherent processing of multiple passes of Synthetic Aperture Radar (SAR) imagery to provide elevation discrimination in a SAR range/azimuth pixel. This report investigates the use of C-band satellites such as RADARSAT-2 or the RADARSAT Constellation Mission (RCM) for tomographic processing. This report uses a Compressive Sensing (CS) approach to accomplish the tomographic processing. Four different satellite geometries are simulated to provide a range of operating environments. For each of the geometries the performance against single target and two target scenarios is measured at various Signal to Noise ratios (SNRs) using simulated data. This report also includes theoretical analysis on the resolution and the Cramer-Rao Lower Bounds (CRLB) on the deviation of elevation estimates.

Il y a un résumé en français ici.

Keywords
Synthetic Aperture Radar;Tomography;Compressive Sensing
Report Number
DRDC-RDDC-2016-R173 — Scientific Report
Date of publication
01 Sep 2016
Number of Pages
88
DSTKIM No
CA043296
CANDIS No
804599
Format(s):
Electronic Document(PDF)

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