Compressive radar imaging

Richard Baraniuk, Philippe Steeghs

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

848 Scopus citations

Abstract

We introduce a new approach to radar imaging based on the concept of compressive sensing (CS). In CS, a low-dimensional, nonadaptive, linear projection is used to acquire an efficient representation of a compressible signal directly using just a few measurements. The signal is then reconstructed by solving an inverse problem either through a linear program or a greedy pursuit. We demonstrate that CS has the potential to make two significant improvements to radar systems: (i) eliminating the need for the pulse compression matched filter at the receiver, and (ii) reducing the required receiver analog-to-digital conversion bandwidth so that it need operate only at the radar reflectivity's potentially low "information rate" rather than at its potentially high Nyquist rate. These ideas could enable the design of new, simplified radar systems, shifting the emphasis from expensive receiver hardware to smart signal recovery algorithms.

Original languageEnglish (US)
Title of host publicationIEEE 2007 Radar Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages128-133
Number of pages6
ISBN (Print)1424402840, 9781424402847
DOIs
StatePublished - 2007
EventIEEE 2007 Radar Conference - Waltham, MA, United States
Duration: Apr 17 2007Apr 20 2007

Publication series

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

Other

OtherIEEE 2007 Radar Conference
CountryUnited States
CityWaltham, MA
Period4/17/074/20/07

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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