Wideband imaging of concealed objects using compressive radar holography

Scott A. Wilson, Ram M. Narayanan, Muralidhar Rangaswamy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Radar holography has been established as an effective image reconstruction process by which the measured diffraction pattern across an aperture provides information about a three-dimensional target scene of interest. Compressive sensing has emerged as a new paradigm in applications involving large amounts of data acquisition and storage. The fusion of these two fields of research has had only limited consideration in radar applications. Typically, full sets of data are collected at the Nyquist rate only to be compressed at some later point, where information-bearing data are retained and inconsequential data are discarded. However, under sparse conditions, it is possible to collect data at random sampling intervals less than the Nyquist rate and still gather enough meaningful data for accurate signal reconstruction. In this paper, we employ sparse sampling techniques in the recording of digital microwave holograms over a two-dimensional scanning aperture. Using a simple and fast non-linear interpolation scheme prior to image reconstruction, we show that the reconstituted image quality is well-retained with limited perceptual loss.

Original languageEnglish (US)
Title of host publication2015 IEEE International Radar Conference, RadarCon 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages925-930
Number of pages6
EditionJune
ISBN (Electronic)9781479982325
DOIs
StatePublished - Jun 22 2015
Event2015 IEEE International Radar Conference, RadarCon 2015 - Arlington, United States
Duration: May 10 2015May 15 2015

Publication series

NameIEEE National Radar Conference - Proceedings
NumberJune
Volume2015-June
ISSN (Print)1097-5659

Other

Other2015 IEEE International Radar Conference, RadarCon 2015
Country/TerritoryUnited States
CityArlington
Period5/10/155/15/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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