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

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

2 Citations (Scopus)

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.

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, SSPD 2016 - Edinburgh, United Kingdom
Duration: 22 Sep 201623 Sep 2016

Conference

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

Fingerprint

Underwater acoustics
underwater acoustics
Channel estimation
Glossaries
Mean square error
telecommunication
Fourier transforms
Communication systems
Sampling
chirp signals
dictionaries
division
sampling
expansion
coefficients
estimates
matrices
simulation

Keywords

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

Cite this

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title = "Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system",
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.",
keywords = "compressive sampling matching pursuit (CoSaMP), dictionary matrix, fractional fourier transform (FrFT), orthogonal frequency division multiplex (OFDM), underwater acoustic (UWA) channel",
author = "Yixin Chen and Carmine Clemente and John Soraghan and Stephen Weiss",
note = "{\circledC} 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.",
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month = "10",
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doi = "10.1109/SSPD.2016.7590600",
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Chen, Y, Clemente, C, Soraghan, J & Weiss, S 2016, Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system. in 2016 Sensor Signal Processing for Defence, SSPD 2016., 7590600, 6th Conference of the Sensor Signal Processing for Defence, SSPD 2016, Edinburgh, United Kingdom, 22/09/16. https://doi.org/10.1109/SSPD.2016.7590600

Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system. / Chen, Yixin; Clemente, Carmine; Soraghan, John; Weiss, Stephen.

2016 Sensor Signal Processing for Defence, SSPD 2016. 2016. 7590600.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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