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A Subband Adaptive Equalization Structure

A Subband Adaptive Equalization Structure
A Subband Adaptive Equalization Structure
The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long impulse responses. Besides resulting in a large computational complexity, this will in general cause slow convergence for LMS-type adaptive algorithms. In this paper, we address the equalization problem by a subband approach to reduce computational complexity and to improve convergence speed. We discuss, why amongst other possibilities of subband processing the oversampled approach is particularly appealing to significantly reduce computational complexity and improve convergence speed. Simulation results for a typical communication channels are presented and highlight the benefit of our method.
411-417
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Garcia-Alis, D
51b23300-fd6b-45fe-a6ad-f2e6fa4efebe
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Garcia-Alis, D
51b23300-fd6b-45fe-a6ad-f2e6fa4efebe
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e

Weiss, S, Garcia-Alis, D and Stewart, R W (1999) A Subband Adaptive Equalization Structure. IEE Colloquium on Novel DSP Algorithms and Architectures for Radio Systems. pp. 411-417 .

Record type: Conference or Workshop Item (Other)

Abstract

The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require adaptive equalizers to adapt very long impulse responses. Besides resulting in a large computational complexity, this will in general cause slow convergence for LMS-type adaptive algorithms. In this paper, we address the equalization problem by a subband approach to reduce computational complexity and to improve convergence speed. We discuss, why amongst other possibilities of subband processing the oversampled approach is particularly appealing to significantly reduce computational complexity and improve convergence speed. Simulation results for a typical communication channels are presented and highlight the benefit of our method.

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More information

Published date: September 1999
Additional Information: Digest no 99/184 Organisation: IEE Address: London, UK
Venue - Dates: IEE Colloquium on Novel DSP Algorithms and Architectures for Radio Systems, 1999-09-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 251922
URI: http://eprints.soton.ac.uk/id/eprint/251922
PURE UUID: a8ea553a-f140-4f2f-83e5-db2fc04fad05

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Date deposited: 08 Nov 2000
Last modified: 02 Dec 2019 21:13

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