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Stopping criteria analysis of the OMP algorithm for sparse channels estimation

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

3 Citations (Scopus)

Abstract

Wireless propagation environment utilised by broadband transmission systems usually has a sparse nature, i.e. only several isolated propagation paths are essential for information transfer. Receiver can recover the parameters of the particular paths using greedy, iterative algorithms that belong to the family of compressed sensing techniques. How to stop the iterative procedure, if no precise knowledge about the order of the channel sparsity is available in the receiver a priori, is a key question regarding a practical implementation of the method. The paper provides stopping criteria analysis of the Orthogonal Matching Pursuit (OMP) algorithm that is used as the core of the channel impulse response estimation method for Time-Domain Synchronous OFDM transmission system. There are investigated the residual error and the difference of successive residual errors of the OMP algorithm, as the possible metrics applied to stop the iteration procedure. Finally, a new heuristic stopping rule based on these two errors is proposed and numerically examined.

Original languageEnglish
Title of host publicationComputer Networks - 22nd International Conference, CN 2015, Proceedings
EditorsPiotr Gaj, Andrzej Kwiecien, Piotr Stera
PublisherSpringer Verlag
Pages250-259
Number of pages10
ISBN (Print)9783319194189
DOIs
Publication statusPublished - 2015
Event22nd International Conference on Computer Networks, CN 2015 - Brunow, Poland
Duration: 16 Jun 201519 Jun 2015

Publication series

NameCommunications in Computer and Information Science
Volume522
ISSN (Print)1865-0929

Conference

Conference22nd International Conference on Computer Networks, CN 2015
Country/TerritoryPoland
CityBrunow
Period16/06/1519/06/15

Keywords

  • Compressive sensing
  • Greedy methods
  • Orthogonal matching pursuit
  • Time domain estimation

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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