Multibranch Autocorrelation Method for Doppler Estimation in Underwater Acoustic Channels

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In underwater acoustic (UWA) communications, Doppler estimation is one of the major stages in a receiver. Two Doppler estimation methods are often used: the cross-ambiguity function (CAF) method and the single-branch autocorrelation (SBA) method. The former results in accurate estimation but with a high complexity, whereas the latter is less complicated but also less accurate. In this paper, we propose and investigate a multibranch autocorrelation (MBA) Doppler estimation method. The proposed method can be used in communication systems with periodically transmitted pilot signals or repetitive data transmission. For comparison of the Doppler estimation methods, we investigate an orthogonal frequency-division multiplexing (OFDM) communication system in multiple dynamic scenarios using the Waymark simulator, allowing virtual UWA signal transmission between moving transmitter and receiver. For the comparison, we also use the OFDM signals recorded in a sea trial. The comparison shows that the receiver with the proposed MBA Doppler estimation method outperforms the receiver with the SBA method and its detection performance is close to that of the receiver with the CAF method, but with a significantly lower complexity.

Original languageEnglish
Article number8093613
Pages (from-to)1099-1113
Number of pages15
JournalIEEE Journal of Oceanic Engineering
Issue number4
Early online date1 Nov 2017
Publication statusPublished - Oct 2018

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  • Ambiguity function, autocorrelation, Doppler estimation, OFDM, underwater acoustic communications.
  • underwater acoustic (UWA) communications
  • Ambiguity function
  • Doppler estimation
  • orthogonal frequency-division multiplexing (OFDM)
  • autocorrelation

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