Iterative SVD-based frequency offset estimation with decorrelation for wireless sensor networks

Satoshi Denno, Masataka Hasebe, Shigeru Tomisato, Masaharu Hata

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper proposes an iterative frequency offset estimation scheme for wireless sensor networks with direct-sequence spread spectrum. The proposed scheme is able to estimate large frequency offset that may occur at the receiver on devices with a sensor by iterating singular value decomposition (SVD)-based frequency offset estimation. In the proposed estimation scheme, a decorrelator is inserted in the iteration cycle that reduces the correlation between the received signals in order to improve the estimation performance, even in multipath fading channel with co-channel interference. It is confirmed by computer simulation that the proposed estimation scheme achieves exact frequency offset estimation in the channel, even when the frequency offset normalized by the symbol duration is 7 × 101.

Original languageEnglish
Title of host publication2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014
PublisherIEEE Computer Society
Pages146-151
Number of pages6
ISBN (Electronic)9789860334074
DOIs
Publication statusPublished - Jan 19 2015
Event2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014 - Sydney, Australia
Duration: Sept 7 2014Sept 10 2014

Publication series

NameInternational Symposium on Wireless Personal Multimedia Communications, WPMC
Volume2015-January
ISSN (Print)1347-6890

Other

Other2014 International Symposium on Wireless Personal Multimedia Communications, WPMC 2014
Country/TerritoryAustralia
CitySydney
Period9/7/149/10/14

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction

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