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Compressed sensing millimeter-wave compact radar range data acquisition and imaging
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Paper Abstract

Compressed sensing is a signal processing paradigm enabling the acquisition and successful reconstruction of a sparse signal from a reduced set of measurements, potentially in violation of the Nyquist sampling criterion. In this paper the results of preliminary investigations into Compressed Sensing applied to the acquisition of wide bandwidth millimeterwave compact radar range data are presented. Primary motivations for application of Compressed Sensing to compact radar range acquisition and imaging include increasing data acquisition speed as well as reducing required data storage. In this work only signal reduction in the frequency domain is examined. Compressed Sensing fully-polarimetric compact range data acquisition and imaging for both a simple canonical target (cylinder) and a complex target (Slicy) are presented as radar cross section (RCS) measurements and interferometric inverse synthetic aperture radar (IFISAR) images. Correlations of compact range data provide a measure of error between the reconstructed and complete data sets as a function of target complexity and sub-sampling rate.

Paper Details

Date Published: 13 May 2019
PDF: 16 pages
Proc. SPIE 10994, Passive and Active Millimeter-Wave Imaging XXII, 1099402 (13 May 2019); doi: 10.1117/12.2518937
Show Author Affiliations
Guy B. DeMartinis, Univ. of Massachusetts Lowell (United States)
Brian W. Soper, Univ. of Massachusetts Lowell (United States)
Jason D. Cook, Univ. of Massachusetts Lowell (United States)
Thomas M. Goyette, Univ. of Massachusetts Lowell (United States)
Andrew J. Gatesman, Univ. of Massachusetts Lowell (United States)


Published in SPIE Proceedings Vol. 10994:
Passive and Active Millimeter-Wave Imaging XXII
David A. Wikner; Duncan A. Robertson, Editor(s)

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