A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems

© 2017 Marine Technology Society. Underwater acoustic (UA) channel is often affected by strong impulsive noise. In this paper, a compressive sensing based iterative algorithm is proposed to accurately estimate the channel state information and mitigate the impulsive noise, which is important to ensu...

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Main Authors: Zhang, J., He, Z., Chen, Jaden, Rong, Yue
Format: Conference Paper
Published: 2017
Online Access:http://hdl.handle.net/20.500.11937/68609
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author Zhang, J.
He, Z.
Chen, Jaden
Rong, Yue
author_facet Zhang, J.
He, Z.
Chen, Jaden
Rong, Yue
author_sort Zhang, J.
building Curtin Institutional Repository
collection Online Access
description © 2017 Marine Technology Society. Underwater acoustic (UA) channel is often affected by strong impulsive noise. In this paper, a compressive sensing based iterative algorithm is proposed to accurately estimate the channel state information and mitigate the impulsive noise, which is important to ensure high-speed data transmission in UA orthogonal frequency-division multiplexing communication systems. By exploiting the sparsity of the impulsive noise and channel impulse response in the time domain, we adopt the orthogonal matching pursuit algorithm to improve the accuracy of channel estimation with relatively low computational complexity. The proposed algorithm is evaluated through numerical simulations and real data collected during a UA communication experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The results show that the proposed algorithm has a better performance than existing approaches.
first_indexed 2025-11-14T10:38:09Z
format Conference Paper
id curtin-20.500.11937-68609
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T10:38:09Z
publishDate 2017
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-686092018-06-29T12:26:21Z A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems Zhang, J. He, Z. Chen, Jaden Rong, Yue © 2017 Marine Technology Society. Underwater acoustic (UA) channel is often affected by strong impulsive noise. In this paper, a compressive sensing based iterative algorithm is proposed to accurately estimate the channel state information and mitigate the impulsive noise, which is important to ensure high-speed data transmission in UA orthogonal frequency-division multiplexing communication systems. By exploiting the sparsity of the impulsive noise and channel impulse response in the time domain, we adopt the orthogonal matching pursuit algorithm to improve the accuracy of channel estimation with relatively low computational complexity. The proposed algorithm is evaluated through numerical simulations and real data collected during a UA communication experiment conducted in December 2015 in the estuary of the Swan River, Western Australia. The results show that the proposed algorithm has a better performance than existing approaches. 2017 Conference Paper http://hdl.handle.net/20.500.11937/68609 restricted
spellingShingle Zhang, J.
He, Z.
Chen, Jaden
Rong, Yue
A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems
title A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems
title_full A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems
title_fullStr A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems
title_full_unstemmed A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems
title_short A compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic OFDM systems
title_sort compressive sensing based iterative algorithm for channel and impulsive noise estimation in underwater acoustic ofdm systems
url http://hdl.handle.net/20.500.11937/68609