Blind Synchronization in Wireless Acoustic Sensor Networks

Dani Cherkassky, Sharon Gannot

Research output: Contribution to journalArticlepeer-review

50 Scopus citations


The challenge of blindly resynchronizing the data acquisition processes in a wireless acoustic sensor network (WASN) is addressed in this paper. The sampling rate offset (SRO) is precisely modeled as a time scaling. The applicability of a wideband correlation processor for estimating the SRO, even in a reverberant and multiple source environment, is presented. An explicit expression for the ambiguity function, which in our case involves time scaling of the received signals, is derived by applying truncated band-limited interpolation. We then propose the recursive band-limited interpolation (RBI) algorithm for recursive SRO estimation. A complete resynchronization scheme utilizing the RBI algorithm, in parallel with the SRO compensation module, is presented. The resulting resynchronization method operates in the time domain in a sequential manner and is, thus, capable of tracking a potentially time-varying SRO. We compared the performance of the proposed RBI algorithm to other available methods in a simulation study. The importance of resynchronization in a beamforming application is demonstrated by both a simulation study and experiments with a real WASN. Finally, we present an experimental study evaluating the expected SRO level between typical data acquisition devices.

Original languageEnglish
Pages (from-to)651-661
Number of pages11
JournalIEEE/ACM Transactions on Audio Speech and Language Processing
Issue number3
StatePublished - Mar 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.


  • Blind synchronization
  • distributed microphone array
  • sampling rate offset
  • wideband correlation processing
  • wireless acoustic sensor network


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