Picture of neon light reading 'Open'

Discover open research at Strathprints as part of International Open Access Week!

23-29 October 2017 is International Open Access Week. The Strathprints institutional repository is a digital archive of Open Access research outputs, all produced by University of Strathclyde researchers.

Explore recent world leading Open Access research content this Open Access Week from across Strathclyde's many research active faculties: Engineering, Science, Humanities, Arts & Social Sciences and Strathclyde Business School.

Explore all Strathclyde Open Access research outputs...

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.. ISBN 9781509003266

[img]
Preview
Text (Chen-etal-SSPD2016-Fractional-fourier-based-sparse-channel-estimation)
Chen_etal_SSPD2016_Fractional_fourier_based_sparse_channel_estimation.pdf - Accepted Author Manuscript

Download (445kB) | Preview

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.