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A blind spectrum recovery algorithm for sparse wideband signals based on backtracking

  • Harbin Institute of Technology

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

Abstract

This paper proposed a novel recovery algorithm for sparse wideband signals. Conventional recovery methods are mainly required the frequency support as a prior, or are based on some compressed sensing (CS) recovery algorithms, such as simultaneous orthogonal matching pursuit (SOMP), which identifies a single spectrum band one time, and couldn't refine the selected spectrum band that is wrong. The proposed algorithm adopts a backtracking strategy. In this strategy, the proposed algorithm can maintain the correct frequency supports and refine the wrong ones during next iteration. The expectation is that the recursive refinements of the estimate of the frequency support set will lead a higher success rate than SOMP. Simulation results demonstrate the proposed algorithm outperforms SOMP.

Original languageEnglish
Title of host publication2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings
Pages1708-1711
Number of pages4
DOIs
StatePublished - 2012
Event2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012 - Graz, Austria
Duration: 13 May 201216 May 2012

Publication series

Name2012 IEEE I2MTC - International Instrumentation and Measurement Technology Conference, Proceedings

Conference

Conference2012 IEEE International Instrumentation and Measurement Technology Conference, I2MTC 2012
Country/TerritoryAustria
CityGraz
Period13/05/1216/05/12

Keywords

  • backtracking
  • compressed sensing
  • modulated wideband converter
  • sparse wideband signals

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