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dc.contributor.authorGuo, S.
dc.contributor.authorHe, Z.
dc.contributor.authorJiang, W.
dc.contributor.authorOu, Y.
dc.contributor.authorNiu, K.
dc.contributor.authorRong, Yue
dc.contributor.authorCaley, Michael
dc.contributor.authorDuncan, Alec
dc.contributor.editorBoon Poh NG
dc.date.accessioned2017-01-30T15:30:33Z
dc.date.available2017-01-30T15:30:33Z
dc.date.created2014-02-06T20:00:33Z
dc.date.issued2013
dc.identifier.citationGuo, Sichuan and He, Zhiqiang and Jiang, Weipeng and Ou, Yuanbiao and Niu, Kai and Rong, Yue and Caley, Michael and Duncan, Alec J. 2013. Channel estimation based on compressed sensing in high-speed underwater acoustic communication, in Proceedings of the 9th International Conference on Information, Communications and Signal Processing, Dec 10-13 2013. Tainan, Taiwan: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/47004
dc.identifier.doi10.1109/ICICS.2013.6782892
dc.description.abstract

The underwater acoustic (UA) channel is dispersive in both time and frequency with severe frequency-dependent signal attenuation. Efficient channel estimation and tracking are crucial to coherent high-rate UA communication. In this paper, we propose a new compressed sensing (CS) based channel estimation method with block-by-block channel tracking for UA communication. Compared with conventional channel estimation algorithms, the proposed method efficiently exploits the sparsity of the UA channel, and improves the channel tracking capability of UA communication system. The proposed algorithm was tested during our UA communication experiment conducted in December 2012 in the Indian Ocean off Rottnest Island, Western Australia. At a data rate of 8 kbps (QPSK constellations), average uncoded bit-error-rates (BERs) of 3% and 14% have been achieved over 1 km and 6 km ranges, respectively, using MMSE equalization based on the proposed channel estimation and tracking method.

dc.publisherIEEE
dc.subjectcompressed sensing
dc.subjectchannel tracking
dc.subjectchannel estimation
dc.subjectunderwater acoustic channel
dc.titleChannel estimation based on compressed sensing in high-speed underwater acoustic communication
dc.typeConference Paper
dcterms.source.titleProceedings of the 9th International Conference on Information, Communications and Signal Processing
dcterms.source.seriesProceedings of the 9th International Conference on Information, Communications and Signal Processing
dcterms.source.isbn9781479904334
dcterms.source.conference9th International Conference on Information, Communications and Signal Processing
dcterms.source.conference-start-dateDec 10 2013
dcterms.source.conferencelocationTainan, Taiwan
dcterms.source.placePiscataway, NJ, USA
curtin.note

Copyright © 2013 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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curtin.accessStatusOpen access


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