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Subband Adaptive Equalization of Time-Varying Channels

Subband Adaptive Equalization of Time-Varying Channels
Subband Adaptive Equalization of Time-Varying Channels
The potential presence of fractional delays, non-minimum phase parts, and a colouring of the channel output can require very large adaptive equalizers exhibiting slow convergence for LMS-type algorithms. In this paper, we address the equalization problem via a subband approach, which can significantly reduce computational complexity and improve convergence speed. Of particular interest in this paper is the tracking behaviour, which determines the speed with which the algorithm is capable of following time variations in the channel. We give reasons why tracking of LMS-type subband adaptive algorithms should be comparable to the fullband case. Simulation results with a time varying channel are presented.
534-538
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Garcia-Alis, D
51b23300-fd6b-45fe-a6ad-f2e6fa4efebe
Freeland, G C
e21d910b-7002-4bb3-95f2-4860c04ea78f
Stewart, R W
c819965d-70b4-4689-8206-e6e444dcbf8e
Weiss, S
a1716781-351d-41d2-8d67-3e3d34f16476
Garcia-Alis, D
51b23300-fd6b-45fe-a6ad-f2e6fa4efebe
Freeland, G C
e21d910b-7002-4bb3-95f2-4860c04ea78f

Stewart, R W, Weiss, S, Garcia-Alis, D and Freeland, G C (1999) Subband Adaptive Equalization of Time-Varying Channels. 33rd Asilomar Conference on Signals, Systems, and Computers. pp. 534-538 .

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 very large adaptive equalizers exhibiting slow convergence for LMS-type algorithms. In this paper, we address the equalization problem via a subband approach, which can significantly reduce computational complexity and improve convergence speed. Of particular interest in this paper is the tracking behaviour, which determines the speed with which the algorithm is capable of following time variations in the channel. We give reasons why tracking of LMS-type subband adaptive algorithms should be comparable to the fullband case. Simulation results with a time varying channel are presented.

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More information

Published date: October 1999
Additional Information: Address: Monterey, California, USA
Venue - Dates: 33rd Asilomar Conference on Signals, Systems, and Computers, 1999-10-01
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 251925
URI: http://eprints.soton.ac.uk/id/eprint/251925
PURE UUID: 73033580-abb9-4223-8f66-6e9b5f59e510

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Date deposited: 08 Nov 2000
Last modified: 09 Dec 2019 20:19

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