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Performance analysis of OMP algorithm in recovering magnitude decaying sparse signals in compressive sensing

  • Harbin Institute of Technology

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

Abstract

The sparse signal recovery has been the subject of extensive research in several different communities. This paper analyzes the performance of orthogonal matching pursuit (OMP) algorithm in recovering magnitude decaying sparse signal in compressive sensing. A concept of Peak Signal Interference Ratio (PSIR) is defined which relates to the identification of atoms in OMP algorithm. Moreover, the relationship between PSIR and the magnitude decaying rate is given and analyzed, which bridges the gap between the performance of OMP and the signal magnitude property. The aforementioned result can be verified through experimental simulation of recovering Zero-one sparse signal and different magnitude decaying sparse signals.

Original languageEnglish
Title of host publication2013 IEEE International Instrumentation and Measurement Technology Conference
Subtitle of host publicationInstrumentation and Measurement for Life, I2MTC 2013 - Proceedings
Pages1781-1785
Number of pages5
DOIs
StatePublished - 2013
Event2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013 - Minneapolis, MN, United States
Duration: 6 May 20139 May 2013

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

Conference2013 IEEE International Instrumentation and Measurement Technology Conference: Instrumentation and Measurement for Life, I2MTC 2013
Country/TerritoryUnited States
CityMinneapolis, MN
Period6/05/139/05/13

Keywords

  • Compressive Sensing
  • measurement matrix
  • orthogonal matching pursuit
  • signal recovery

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