Expected likelihood for compressive sensing-based DOA estimation

I. Bilik, T. Northardt, Y. Abramovich

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This work addresses the problem of spatial compressive sensing (SCS) DOA estimation performance evaluation by exploiting an estimation-theoretic method known as expected likelihood (EL). This work provides a novel application of the EL method to mitigate two bias sources present in the SCS DOA estimation approach due to discretization of the azimuth bearing space and L 1-regularization.

Original languageEnglish
Title of host publicationIET International Conference on Radar Systems, Radar 2012
Edition603 CP
DOIs
StatePublished - 1 Dec 2012
Externally publishedYes
EventIET International Conference on Radar Systems, Radar 2012 - Glasgow, United Kingdom
Duration: 22 Oct 201225 Oct 2012

Publication series

NameIET Conference Publications
Number603 CP
Volume2012

Conference

ConferenceIET International Conference on Radar Systems, Radar 2012
Country/TerritoryUnited Kingdom
CityGlasgow
Period22/10/1225/10/12

Keywords

  • Expected likelihood
  • Grid bias
  • Regularization bias
  • Spatial compressive sensing

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