Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems

IEEE Impulsive noise is one key factor that limits the performance of underwater acoustic (UA) communications. In this paper, two pilot-subcarrier based algorithms are proposed to improve the performance of channel estimation and impulsive noise mitigation for UA orthogonal frequency-division multip...

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Main Authors: Chen, P., Rong, Y., Nordholm, Sven, He, Z.
Format: Journal Article
Published: Institute of Electrical and Electronics Engineers 2017
Online Access:http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/57074
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author Chen, P.
Rong, Y.
Nordholm, Sven
He, Z.
author_facet Chen, P.
Rong, Y.
Nordholm, Sven
He, Z.
author_sort Chen, P.
building Curtin Institutional Repository
collection Online Access
description IEEE Impulsive noise is one key factor that limits the performance of underwater acoustic (UA) communications. In this paper, two pilot-subcarrier based algorithms are proposed to improve the performance of channel estimation and impulsive noise mitigation for UA orthogonal frequency-division multiplexing (OFDM) systems. The first algorithm jointly estimates the channel and the impulsive noise based on the least-squares (LS) principle. The second algorithm is developed with the aim to reduce the computational complexity, where the expectation-maximization (EM) principle is applied to estimate the channel and the impulsive noise iteratively. We compare the proposed algorithms by simulations and apply them to process the data collected during an experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The results show that both proposed algorithms have better performance than existing methods in mitigating impulsive noise in UA OFDM systems.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-570742022-10-12T03:33:11Z Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems Chen, P. Rong, Y. Nordholm, Sven He, Z. IEEE Impulsive noise is one key factor that limits the performance of underwater acoustic (UA) communications. In this paper, two pilot-subcarrier based algorithms are proposed to improve the performance of channel estimation and impulsive noise mitigation for UA orthogonal frequency-division multiplexing (OFDM) systems. The first algorithm jointly estimates the channel and the impulsive noise based on the least-squares (LS) principle. The second algorithm is developed with the aim to reduce the computational complexity, where the expectation-maximization (EM) principle is applied to estimate the channel and the impulsive noise iteratively. We compare the proposed algorithms by simulations and apply them to process the data collected during an experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The results show that both proposed algorithms have better performance than existing methods in mitigating impulsive noise in UA OFDM systems. 2017 Journal Article http://hdl.handle.net/20.500.11937/57074 10.1109/TVT.2017.2743220 http://purl.org/au-research/grants/arc/DP140102131 Institute of Electrical and Electronics Engineers restricted
spellingShingle Chen, P.
Rong, Y.
Nordholm, Sven
He, Z.
Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems
title Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems
title_full Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems
title_fullStr Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems
title_full_unstemmed Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems
title_short Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems
title_sort joint channel and impulsive noise estimation in underwater acoustic ofdm systems
url http://purl.org/au-research/grants/arc/DP140102131
http://hdl.handle.net/20.500.11937/57074