Subband adaptive equalisation of time-varying channels

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

Research output: Contribution to conferencePaper

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 languageEnglish
Pages534-538
Number of pages5
DOIs
Publication statusPublished - Oct 1999
Event33rd Asilomar Conference on Signals, Systems, and Computers - Pacific Grove, CA, United States
Duration: 24 Oct 199927 Oct 1999

Conference

Conference33rd Asilomar Conference on Signals, Systems, and Computers
CountryUnited States
CityPacific Grove, CA
Period24/10/9927/10/99

Fingerprint

Equalizers
Coloring
Adaptive algorithms
Computational complexity

Keywords

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

Cite this

Stewart, R., Weiss, S., Garcia-Alis, D., & Freeland, G. (1999). Subband adaptive equalisation of time-varying channels. 534-538. Paper presented at 33rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, United States. https://doi.org/10.1109/ACSSC.1999.832387
Stewart, Robert ; Weiss, Stephan ; Garcia-Alis, Daniel ; Freeland, Graham. / Subband adaptive equalisation of time-varying channels. Paper presented at 33rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, United States.5 p.
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Stewart, R, Weiss, S, Garcia-Alis, D & Freeland, G 1999, 'Subband adaptive equalisation of time-varying channels' Paper presented at 33rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, United States, 24/10/99 - 27/10/99, pp. 534-538. https://doi.org/10.1109/ACSSC.1999.832387

Subband adaptive equalisation of time-varying channels. / Stewart, Robert; Weiss, Stephan; Garcia-Alis, Daniel; Freeland, Graham.

1999. 534-538 Paper presented at 33rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, United States.

Research output: Contribution to conferencePaper

TY - CONF

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

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Stewart R, Weiss S, Garcia-Alis D, Freeland G. Subband adaptive equalisation of time-varying channels. 1999. Paper presented at 33rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, United States. https://doi.org/10.1109/ACSSC.1999.832387