Blind synchronization in wireless sensor networks with application to speech enhancement

Dani Cherkassky, Sharon Gannot

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

17 Scopus citations

Abstract

The sampling rate offset (SRO) phenomenon in wireless acoustic sensor network (WASN) is considered in this work. The use of different clock sources in each node results in a drift between the nodes' signals. The aim of this work is to estimate these SROs and to re-synchronize the network, enabling coherent multi-microphone processing. First, the link between SRO and the Doppler effect is driven. Then, a wideband correlation processor for SRO estimation, which is equivalent to continuous wavelet transform (CWT), is proposed. Finally, the node synchronization is achieved by re-sampling the signals at each node. Experimental study using an actual WASN, demonstrates the ability of the proposed algorithm to re-synchronize the network and to regain the performance loss due to SRO.

Original languageEnglish
Title of host publication2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages183-187
Number of pages5
ISBN (Electronic)9781479968084
DOIs
StatePublished - 11 Nov 2014
Event2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014 - Juan-les-Pins, France
Duration: 8 Sep 201411 Sep 2014

Publication series

Name2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014

Conference

Conference2014 14th International Workshop on Acoustic Signal Enhancement, IWAENC 2014
Country/TerritoryFrance
CityJuan-les-Pins
Period8/09/1411/09/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Blind synchronization
  • Sampling rate offset
  • Wideband correlation processing
  • Wireless acoustic sensor network

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