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BEACON channel estimation for cooperative wireless sensor networks based on data selection

  • Tong Wang*
  • , Rodrigo C. De Lamare
  • , Paul D. Mitchell
  • *Corresponding author for this work
  • University of York

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

Abstract

In this paper, we consider a general cooperative wireless sensor network (WSN) and the problem of channel estimation. A matrix-based set-membership recursive least squares (RLS) algorithm called BEACON is developed for the estimation of the complex channel parameters in order to reduce the computational complexity significantly and extend the lifetime of the WSN by reducing its power consumption. Then, we present and incorporate an error bound function into the BEACON channel estimation method which can adjust the error bound automatically with the update of the channel estimates. Computer simulations show good performance of our proposed algorithms in terms of convergence speed and steady state mean square error, reduced complexity and robustness to the time-varying environment and different signal-to-noise ratio (SNR) values.

Original languageEnglish
Title of host publicationProceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Pages140-144
Number of pages5
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 7th International Symposium on Wireless Communication Systems, ISWCS'10 - York, United Kingdom
Duration: 19 Sep 201022 Sep 2010

Publication series

NameProceedings of the 2010 7th International Symposium on Wireless Communication Systems, ISWCS'10

Conference

Conference2010 7th International Symposium on Wireless Communication Systems, ISWCS'10
Country/TerritoryUnited Kingdom
CityYork
Period19/09/1022/09/10

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