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Title: A blind lag-hopping adaptive channel shortening algorithm based upon squared auto-correlation minimization (LHSAM)
Authors: Grira, M.
Chambers, Jonathon
Keywords: Adaptive filtering
Channel shortening
Multicarrier modulation
Issue Date: 2008
Publisher: © IEEE
Citation: GRIRA, M and CHAMBERS, J., 2008. A blind lag-hopping adaptive channel shortening algorithm based upon squared auto-correlation minimization (LHSAM). IN: Proceedings of the IEEE Conference on Acoustics, Speech and Signal Processing 2008. ICASSP 2008, Las Vegas, Nevada, 31 March-4 April 2008, pp. 3569 - 3572
Abstract: Recent analytical results due to Walsh, Martin and Johnson showed that optimizing the single lag autocorrelation minimization (SLAM) cost does not guarantee convergence to high signal to interference ratio (SIR), an important metric in channel shortening applications. We submit that we can overcome this potential limitation of the SLAM algorithm and retain its computational complexity advantage by minimizing the square of single autocorrelation value with randomly selected lag. Our proposed lag-hopping adaptive channel shortening algorithm based upon squared autocorrelation minimization (LHSAM) has, therefore, low complexity as in the SLAM algorithm and, more importantly, a low average LHSAM cost can guarantee to give a high SIR as for the SAM algorithm. Simulation studies are included to confirm the performance of the LHSAM algorithm.
Description: This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Version: Published
DOI: 10.1109/ICASSP.2008.4518423
URI: https://dspace.lboro.ac.uk/2134/5540
ISBN: 9781424414833
ISSN: 1520-6149
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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