A new method for frame synchronization in acoustic communication

Zheng Guo, Shefeng Yan*, Lijun Xu

*Corresponding author for this work

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

8 Citations (Scopus)

Abstract

This work considers the problem of false frame synchronization for underwater acoustic communication (UWAC), and a new frame synchronization approach based on Linear Frequency Modulation (LFM) signal parameters estimation is proposed. Two parameters estimation techniques including Fractional Fourier Transform (FRFT) estimation and Maximum Likelihood (ML) estimation have been presented in this paper. Traditional frame synchronization methods are based on a correlator, the reference signal used in the correlator has the same parameters as the transmitted signal; while in the signal propagating process, the received signal suffers severe distortion, so it is obvious not the optimal way for frame synchronization. By avoiding a complex design of synchronization signal waveform and prolonging the synchronization signal time, this method we proposed can locate the frames of the received signal effectively; therefore, communication rate will not be reduced. And a simplification of the algorithm has been derived to save computational cost. Simulation and experimental results to show the performance of this method are also addressed in this paper.

Original languageEnglish
Title of host publicationOCEANS 2016 - Shanghai
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467397247
DOIs
Publication statusPublished - 3 Jun 2016
Externally publishedYes
EventOCEANS 2016 - Shanghai - Shanghai, China
Duration: 10 Apr 201613 Apr 2016

Publication series

NameOCEANS 2016 - Shanghai

Conference

ConferenceOCEANS 2016 - Shanghai
Country/TerritoryChina
CityShanghai
Period10/04/1613/04/16

Keywords

  • FRFT
  • ML
  • frame synchronization
  • parameters estimation
  • underwater acoustic communication

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