Sparse Channel Estimation for Space-Time Block Coded OFDM-Based Underwater Acoustic Channels

Mhd Tahssin Altabbaa, Arif Selcuk Ogrenci, Erdal Panayirci, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Scopus citations

Abstract

Communication over acoustic signals underwater results in multi-scale multi-lag channels due to multipath propagation. Hence, a robust channel estimation technique has to be present at the receiver. In this paper, assuming underwater channels undergoing Rayleigh fading, a path-based channel model that characterizes each path of the time-varying sparse channel by a delay, a Doppler scale, and an attenuation factor is considered. Alamouti's space-time block transmit diversity scheme is used in the form of two transmit antennas and one receiver, and the proposed OFDM-based non-data-aided algorithm iteratively estimates the complex channel parameters of each subcarrier using the expectation maximization (EM) method, which in turn converges to a true maximum a posteriori probability (MAP) estimate of the unknown channel, where the Karhunen-Loeve expansion is performed for complexity reduction. Finally, the novel channel estimation algorithm combines the aforementioned MAP-EM technique with ESPRIT for delay estimation by exploiting the sparseness of the underwater acoustic channels. The performance of the proposed algorithm is then presented in terms of average mean square error and symbol error rate for QPSK signaling with extreme Doppler spreads and different pilot spacings. It is shown that excellent mean-square error and symbol error rate performance is achieved even in the presence of extreme Doppler shifts.
Original languageEnglish (US)
Title of host publication2018 IEEE Global Communications Conference (GLOBECOM)
PublisherIEEE
ISBN (Print)9781538647271
DOIs
StatePublished - 2018
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2022-06-24
Acknowledged KAUST grant number(s): OSR-2016-CRG 5-2958-02
Acknowledgements: This research has been supported in part by the Scientific and Technological Research Council of Turkey (TUBITAK) under the 2219 International Fellowship Program during the last stage of this work, and in part by KAUST under grant No. OSR-2016-CRG 5-2958-02.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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