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    Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems

    Access Status
    Fulltext not available
    Authors
    Chen, P.
    Rong, Y.
    Nordholm, Sven
    He, Z.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Chen, P. and Rong, Y. and Nordholm, S. and He, Z. 2017. Joint Channel and Impulsive Noise Estimation in Underwater Acoustic OFDM Systems. IEEE Transactions on Vehicular Technology. 66 (11): pp. 10567-10571.
    Source Title
    IEEE Transactions on Vehicular Technology
    DOI
    10.1109/TVT.2017.2743220
    ISSN
    0018-9545
    School
    Department of Electrical and Computer Engineering
    Funding and Sponsorship
    http://purl.org/au-research/grants/arc/DP140102131
    URI
    http://hdl.handle.net/20.500.11937/57074
    Collection
    • Curtin Research Publications
    Abstract

    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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