Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system

Chen, Yixin and Clemente, Carmine and Soraghan, John and Weiss, Stephen; (2016) Fractional fourier based sparse channel estimation for multicarrier underwater acoustic communication system. In: 2016 Sensor Signal Processing for Defence, SSPD 2016. Institute of Electrical and Electronics Engineers Inc., GBR. ISBN 9781509003266 (https://doi.org/10.1109/SSPD.2016.7590600)

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Abstract

This paper presents a hybrid sparse channel estimation based on Fractional Fourier Transform (FrFT) for orthogonal frequency division multiplex (OFDM) scenario to exploit channel sparsity of underwater acoustic (UWA) channel. A novel channel dictionary matrix based on chirp signals is constructed and mutual coherence is adopted to evaluate its preservation of sparse information. In addition, Compressive Sampling Matching Pursuit (CoSaMP) is implemented to estimate the sparse channel coefficients. Simulation results demonstrate a significant Normalized Mean Square Error (NMSE) improvement of 10dB over Basis Expansion Model (BEM) with less complexity.

ORCID iDs

Chen, Yixin ORCID logoORCID: https://orcid.org/0000-0002-9499-2885, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Weiss, Stephen ORCID logoORCID: https://orcid.org/0000-0002-3486-7206;
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