Compressive CFAR radar detection

Laura Anitori, Matern Otten, Wim Van Rossum, Arian Maleki, Richard Baraniuk

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

23 Scopus citations

Abstract

In this paper we develop the first Compressive Sensing (CS) adaptive radar detector. We propose three novel architectures and demonstrate how a classical Constant False Alarm Rate (CFAR) detector can be combined with ℓ 1-norm minimization. Using asymptotic arguments and the Complex Approximate Message Passing (CAMP) algorithm we characterize the statistics of the ℓ 1-norm reconstruction error and derive closed form expressions for both the detection and false alarm probabilities. We support our theoretical findings with a range of experiments that show that our theoretical conclusions hold even in non-asymptotic setting. We also report on the results from a radar measurement campaign, where we designed ad hoc transmitted waveforms to obtain a set of CS frequency measurements. We compare the performance of our new detection schemes using Receiver Operating Characteristic (ROC) curves.

Original languageEnglish (US)
Title of host publication2012 IEEE Radar Conference
Subtitle of host publicationUbiquitous Radar, RADARCON 2012 - Conference Program
Pages320-325
Number of pages6
DOIs
StatePublished - Jul 30 2012
Event2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012 - Atlanta, GA, United States
Duration: May 7 2012May 11 2012

Other

Other2012 IEEE Radar Conference: Ubiquitous Radar, RADARCON 2012
CountryUnited States
CityAtlanta, GA
Period5/7/125/11/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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