Subband adaptive equalisation of time-varying channels

Robert Stewart; Stephan Weiss; Daniel Garcia-Alis; Graham Freeland

doi:10.1109/ACSSC.1999.832387

Subband adaptive equalisation of time-varying channels

Robert Stewart, Stephan Weiss, Daniel Garcia-Alis, Graham Freeland

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

8 Citations (Scopus)

Abstract

The potential presence of fractional delays, nonminimum 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 full-band case. Simulation results with a time varying channel are presented.

Original language	English
Pages	534-538
Number of pages	5
DOIs	https://doi.org/10.1109/ACSSC.1999.832387
Publication status	Published - Oct 1999
Event	33rd Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, CA, United States Duration: 24 Oct 1999 → 27 Oct 1999

Conference

Conference	33rd Asilomar Conference on Signals, Systems, and Computers
Country/Territory	United States
City	Pacific Grove, CA
Period	24/10/99 → 27/10/99

Keywords

adaptive algorithm
adaptive equalizers
adaptive filters
adaptive systems
convergence
time-varying channels

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10.1109/ACSSC.1999.832387

Cite this

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title = "Subband adaptive equalisation of time-varying channels",

abstract = "The potential presence of fractional delays, nonminimum 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 full-band case. Simulation results with a time varying channel are presented.",

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author = "Robert Stewart and Stephan Weiss and Daniel Garcia-Alis and Graham Freeland",

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doi = "10.1109/ACSSC.1999.832387",

language = "English",

pages = "534--538",

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T1 - Subband adaptive equalisation of time-varying channels

AU - Stewart, Robert

AU - Weiss, Stephan

AU - Garcia-Alis, Daniel

AU - Freeland, Graham

PY - 1999/10

Y1 - 1999/10

N2 - The potential presence of fractional delays, nonminimum 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 full-band case. Simulation results with a time varying channel are presented.

AB - The potential presence of fractional delays, nonminimum 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 full-band case. Simulation results with a time varying channel are presented.

KW - adaptive algorithm

KW - adaptive equalizers

KW - adaptive filters

KW - adaptive systems

KW - convergence

KW - time-varying channels

U2 - 10.1109/ACSSC.1999.832387

DO - 10.1109/ACSSC.1999.832387

M3 - Paper

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EP - 538

T2 - 33rd Asilomar Conference on Signals, Systems, and Computers

Y2 - 24 October 1999 through 27 October 1999

ER -

Subband adaptive equalisation of time-varying channels

Abstract

Conference

Keywords

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