A useful performance metric for compressed channel sensing

Matthew Sharp, Anna Scaglione

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

Recently, new progress has been made in using basis expansion models for system identification with compressed sensing. To aid the application of these methodologies, we introduce a metric, called localized coherence, for choosing input signals that result in better estimation performance. Its definition is motivated through the analysis of the normalized mean Euclidean error of the channel estimate and its efficacy is demonstrated through numerical simulations.

Original languageEnglish (US)
Article number5725199
Pages (from-to)2982-2988
Number of pages7
JournalIEEE Transactions on Signal Processing
Volume59
Issue number6
DOIs
StatePublished - Jun 1 2011
Externally publishedYes

Keywords

  • Channel estimation
  • compressed sensing
  • sparsity
  • system identification

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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