Model-based adaptive algorithms for time-varying communication channels with application to adaptive multiuser detection

Zarko B. Krusevac; Rodney A. Kennedy; Predrag B. Rapajic

Model-based adaptive algorithms for time-varying communication channels with application to adaptive multiuser detection

Zarko B. Krusevac^*, Rodney A. Kennedy, Predrag B. Rapajic

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This paper shows through theory and simulation the superiority of model-based adaptive algorithms relative to observation-only-based adaptive algorithms, such as LMS and RLS, when applied to tracking time-varying channels. The model-based formulation reveals RLS as a degenerate algorithm which does not explicitly recognize the time-varying nature of the channel and consequently is ill-suited to tracking in non-stationary environments. Simulation results for MSE performance of the various adaptive algorithms applied to adaptive MMSE multiuser receiver corroborate the theoretical analysis.

Original language	English
Title of host publication	2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings
Pages	1675-1679
Number of pages	5
Publication status	Published - 2006
Event	2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Melbourne, Australia Duration: 7 May 2006 → 10 Jul 2006

Publication series

Name	IEEE Vehicular Technology Conference
Volume	4
ISSN (Print)	1550-2252

Conference

Conference	2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring
Country/Territory	Australia
City	Melbourne
Period	7/05/06 → 10/07/06

Cite this

@inproceedings{6bf8f511c00d49c28238ec7466ea232e,

title = "Model-based adaptive algorithms for time-varying communication channels with application to adaptive multiuser detection",

abstract = "This paper shows through theory and simulation the superiority of model-based adaptive algorithms relative to observation-only-based adaptive algorithms, such as LMS and RLS, when applied to tracking time-varying channels. The model-based formulation reveals RLS as a degenerate algorithm which does not explicitly recognize the time-varying nature of the channel and consequently is ill-suited to tracking in non-stationary environments. Simulation results for MSE performance of the various adaptive algorithms applied to adaptive MMSE multiuser receiver corroborate the theoretical analysis.",

author = "Krusevac, {Zarko B.} and Kennedy, {Rodney A.} and Rapajic, {Predrag B.}",

year = "2006",

language = "English",

isbn = "0780393929",

series = "IEEE Vehicular Technology Conference",

pages = "1675--1679",

booktitle = "2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings",

note = "2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring ; Conference date: 07-05-2006 Through 10-07-2006",

}

Krusevac, ZB, Kennedy, RA & Rapajic, PB 2006, Model-based adaptive algorithms for time-varying communication channels with application to adaptive multiuser detection. in 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings., 1683131, IEEE Vehicular Technology Conference, vol. 4, pp. 1675-1679, 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring, Melbourne, Australia, 7/05/06.

Model-based adaptive algorithms for time-varying communication channels with application to adaptive multiuser detection. / Krusevac, Zarko B.; Kennedy, Rodney A.; Rapajic, Predrag B.
2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings. 2006. p. 1675-1679 1683131 (IEEE Vehicular Technology Conference; Vol. 4).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Krusevac, Zarko B.

AU - Kennedy, Rodney A.

AU - Rapajic, Predrag B.

PY - 2006

Y1 - 2006

N2 - This paper shows through theory and simulation the superiority of model-based adaptive algorithms relative to observation-only-based adaptive algorithms, such as LMS and RLS, when applied to tracking time-varying channels. The model-based formulation reveals RLS as a degenerate algorithm which does not explicitly recognize the time-varying nature of the channel and consequently is ill-suited to tracking in non-stationary environments. Simulation results for MSE performance of the various adaptive algorithms applied to adaptive MMSE multiuser receiver corroborate the theoretical analysis.

AB - This paper shows through theory and simulation the superiority of model-based adaptive algorithms relative to observation-only-based adaptive algorithms, such as LMS and RLS, when applied to tracking time-varying channels. The model-based formulation reveals RLS as a degenerate algorithm which does not explicitly recognize the time-varying nature of the channel and consequently is ill-suited to tracking in non-stationary environments. Simulation results for MSE performance of the various adaptive algorithms applied to adaptive MMSE multiuser receiver corroborate the theoretical analysis.

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M3 - Conference contribution

SN - 0780393929

SN - 9780780393929

T3 - IEEE Vehicular Technology Conference

SP - 1675

EP - 1679

BT - 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring - Proceedings

T2 - 2006 IEEE 63rd Vehicular Technology Conference, VTC 2006-Spring

Y2 - 7 May 2006 through 10 July 2006

ER -

Model-based adaptive algorithms for time-varying communication channels with application to adaptive multiuser detection

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