Microwave Synthetic Aperture Radar Imaging using Sparse Measurement

Abstract

This paper evaluates Compressed Sensing (CS) techniques for image recovery from sparse measurement of wideband microwave synthetic aperture radar. A specimen under test (SUT) consists of a tray of small rocks of different densities and with/without one piece that is wrapped in aluminum foil. The fully-sampled measurements of the SUT are randomly under-sampled in the space domain and the images are reconstructed from measurements of 10%-50% sparse-sampling rates using conventional zero-filling (ZF) and NUFFT methods in comparison to the advanced CS method. The results show that the CS method achieves good image quality with as low as 30% sparse-sampling rate, while ZF and NUFFT require 50% to obtain acceptable quality. The reduction of spatial measurement leads to reduced cost or reduced measurement time.

Meeting Name

IEEE International Instrumentation and Measurement Technology Conference (2016: May 23-26, Taipei, Taiwan)

Department(s)

Electrical and Computer Engineering

Keywords and Phrases

Compressed Sensing; Synthetic Aperture Radar; Digital Signal Processing; Image Processing; Image Quality; Radar Imaging; Radar Signal Processing; Signal Reconstruction; Different Densities; Image Recovery; Measurement Time; Measurements Of; Sparse Sampling; Spatial Measurements; Wideband Microwaves

International Standard Book Number (ISBN)

978-1-4673-9220-4

International Standard Serial Number (ISSN)

1091-5281

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2016 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

Publication Date

01 May 2016

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