Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system

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Abstract

This paper presents a hybrid sparse channel estimation based on Fractional Fourier Transform (FrFT) for orthogonal frequency division multiplex (OFDM) scenario to exploit channel sparsity of underwater acoustic (UWA) channel. A novel channel dictionary matrix based on chirp signals is constructed and mutual coherence is adopted to evaluate its preservation of sparse information. In addition, Compressive Sampling Matching Pursuit (CoSaMP) is implemented to estimate the sparse channel coefficients. Simulation results demonstrate a significant Normalized Mean Square Error (NMSE) improvement of 10dB over Basis Expansion Model (BEM) with less complexity.

Original languageEnglish
Title of host publication2016 Sensor Signal Processing for Defence, SSPD 2016
ISBN (Electronic)9781509003266
DOIs
Publication statusPublished - 13 Oct 2016
Event6th Conference of the Sensor Signal Processing for Defence - Royal College of Surgeons, Edinburgh, United Kingdom
Duration: 22 Sep 201623 Sep 2016
Conference number: 6

Conference

Conference6th Conference of the Sensor Signal Processing for Defence
Abbreviated titleSSPD 2016
CountryUnited Kingdom
CityEdinburgh
Period22/09/1623/09/16

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Keywords

  • compressive sampling matching pursuit (CoSaMP)
  • dictionary matrix
  • fractional fourier transform (FrFT)
  • orthogonal frequency division multiplex (OFDM)
  • underwater acoustic (UWA) channel

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