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

Yixin Chen; Carmine Clemente; John Soraghan; Stephen Weiss

doi:10.1109/SSPD.2016.7590600

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

Yixin Chen, Carmine Clemente, John Soraghan, Stephen Weiss

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

9 Citations (Scopus)

77 Downloads (Pure)

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 language	English
Title of host publication	2016 Sensor Signal Processing for Defence, SSPD 2016
ISBN (Electronic)	9781509003266
DOIs	https://doi.org/10.1109/SSPD.2016.7590600
Publication status	Published - 13 Oct 2016
Event	6th Conference of the Sensor Signal Processing for Defence - Royal College of Surgeons, Edinburgh, United Kingdom Duration: 22 Sept 2016 → 23 Sept 2016 Conference number: 6

Conference

Conference	6th Conference of the Sensor Signal Processing for Defence
Abbreviated title	SSPD 2016
Country/Territory	United Kingdom
City	Edinburgh
Period	22/09/16 → 23/09/16

Keywords

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

Access to Document

10.1109/SSPD.2016.7590600

Chen-etal-SSPD2016-Fractional-fourier-based-sparse-channel-estimationAccepted author manuscript, 435 KB

Cite this

@inproceedings{184ddd0ad85a45e98b3a70accec95fcd,

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 = "{\textcopyright} 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.; 6th Conference of the Sensor Signal Processing for Defence, SSPD 2016 ; Conference date: 22-09-2016 Through 23-09-2016",

year = "2016",

month = oct,

day = "13",

doi = "10.1109/SSPD.2016.7590600",

language = "English",

booktitle = "2016 Sensor Signal Processing for Defence, SSPD 2016",

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T1 - Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system

AU - Chen, Yixin

AU - Clemente, Carmine

AU - Soraghan, John

AU - Weiss, Stephen

N1 - Conference code: 6

PY - 2016/10/13

Y1 - 2016/10/13

N2 - 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.

AB - 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.

KW - compressive sampling matching pursuit (CoSaMP)

KW - dictionary matrix

KW - fractional fourier transform (FrFT)

KW - orthogonal frequency division multiplex (OFDM)

KW - underwater acoustic (UWA) channel

UR - https://www.scopus.com/pages/publications/85009753127

U2 - 10.1109/SSPD.2016.7590600

DO - 10.1109/SSPD.2016.7590600

M3 - Conference contribution book

AN - SCOPUS:85009753127

BT - 2016 Sensor Signal Processing for Defence, SSPD 2016

T2 - 6th Conference of the Sensor Signal Processing for Defence

Y2 - 22 September 2016 through 23 September 2016

ER -

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

Abstract

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Signal Processing Solutions for the Networked Battlespace

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

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

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Signal Processing Solutions for the Networked Battlespace

Cite this