Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems

Impulsive noise occurs frequently in underwater acoustic (UA) channels and can significantly degrade the performance of UA orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we propose a novel compressed sensing based algorithm for joint channel estimation and impulsive noise...

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Main Authors: Chen, P., Rong, Yue, Nordholm, Sven, Duncan, Alec, He, Z.
Format: Conference Paper
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/51988
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author Chen, P.
Rong, Yue
Nordholm, Sven
Duncan, Alec
He, Z.
author_facet Chen, P.
Rong, Yue
Nordholm, Sven
Duncan, Alec
He, Z.
author_sort Chen, P.
building Curtin Institutional Repository
collection Online Access
description Impulsive noise occurs frequently in underwater acoustic (UA) channels and can significantly degrade the performance of UA orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we propose a novel compressed sensing based algorithm for joint channel estimation and impulsive noise cancelation in UA OFDM systems. The proposed algorithm jointly estimates the channel impulse response and the impulsive noise by utilizing the pilot subcarriers. The estimated impulsive noise is then converted to the time domain and removed from the received signals. The proposed algorithm is applied to process the data collected during the UA communication experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The results show that the proposed approach improves the performance of both channel estimation and impulsive noise mitigation.
first_indexed 2025-11-14T09:49:59Z
format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:49:59Z
publishDate 2017
recordtype eprints
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spelling curtin-20.500.11937-519882017-11-02T05:17:58Z Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems Chen, P. Rong, Yue Nordholm, Sven Duncan, Alec He, Z. Impulsive noise occurs frequently in underwater acoustic (UA) channels and can significantly degrade the performance of UA orthogonal frequency-division multiplexing (OFDM) systems. In this paper, we propose a novel compressed sensing based algorithm for joint channel estimation and impulsive noise cancelation in UA OFDM systems. The proposed algorithm jointly estimates the channel impulse response and the impulsive noise by utilizing the pilot subcarriers. The estimated impulsive noise is then converted to the time domain and removed from the received signals. The proposed algorithm is applied to process the data collected during the UA communication experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The results show that the proposed approach improves the performance of both channel estimation and impulsive noise mitigation. 2017 Conference Paper http://hdl.handle.net/20.500.11937/51988 10.1109/TENCON.2016.7848493 restricted
spellingShingle Chen, P.
Rong, Yue
Nordholm, Sven
Duncan, Alec
He, Z.
Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems
title Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems
title_full Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems
title_fullStr Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems
title_full_unstemmed Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems
title_short Compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic OFDM systems
title_sort compressed sensing based channel estimation and impulsive noise cancelation in underwater acoustic ofdm systems
url http://hdl.handle.net/20.500.11937/51988