Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels

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

doi:10.1109/AUSCTW.2005.1624252

Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels

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

^*Corresponding author for this work

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

Abstract

This paper analyzes the theoretical limits of the Least Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms performance for the adaptive CDMA receivers in slowly time varying communication channels in the presence of multi-path. We show that since the RLS involves memory and does not explicitly recognize time varying nature of the channel (time varying "true" weights), it has worse tracking performance then the LMS adaptive algorithm. Thus, the implementation of the RLS algorithm for adaptive CDMA receivers operating in time varying channels is very limited. The LMS algorithm provides better tracking, but still speed of channel change must be slow. In addition, we present simulation results which confirm the theoretical analysis.

Original language	English
Title of host publication	Proceedings 6th Australian Communications Theory Workshop 2005
Pages	202-208
Number of pages	7
DOIs	https://doi.org/10.1109/AUSCTW.2005.1624252
Publication status	Published - 2005
Event	6th Australian Communications Theory Workshop 2005 - Brisbane, Australia Duration: 2 Feb 2005 → 4 Feb 2005

Publication series

Name	Proceedings 6th Australian Communications Theory Workshop 2005
Volume	2005

Conference

Conference	6th Australian Communications Theory Workshop 2005
Country/Territory	Australia
City	Brisbane
Period	2/02/05 → 4/02/05

Access to Document

10.1109/AUSCTW.2005.1624252

Cite this

Krusevac, Z. B., Rapajic, P. B., & Kennedy, R. A. (2005). Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels. In Proceedings 6th Australian Communications Theory Workshop 2005 (pp. 202-208). Article 1624252 (Proceedings 6th Australian Communications Theory Workshop 2005; Vol. 2005). https://doi.org/10.1109/AUSCTW.2005.1624252

@inproceedings{8ed9df668c8e4541a4096f7aa6b1302c,

title = "Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels",

abstract = "This paper analyzes the theoretical limits of the Least Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms performance for the adaptive CDMA receivers in slowly time varying communication channels in the presence of multi-path. We show that since the RLS involves memory and does not explicitly recognize time varying nature of the channel (time varying {"}true{"} weights), it has worse tracking performance then the LMS adaptive algorithm. Thus, the implementation of the RLS algorithm for adaptive CDMA receivers operating in time varying channels is very limited. The LMS algorithm provides better tracking, but still speed of channel change must be slow. In addition, we present simulation results which confirm the theoretical analysis.",

keywords = "Adaptive Kalman filter, Adaptive minimum mean square error (MMSE) receiver, Least mean square (LMS) and recursive least square (RLS) adaptive algorithms, Tracking ability",

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

year = "2005",

doi = "10.1109/AUSCTW.2005.1624252",

language = "English",

isbn = "0780390075",

series = "Proceedings 6th Australian Communications Theory Workshop 2005",

pages = "202--208",

booktitle = "Proceedings 6th Australian Communications Theory Workshop 2005",

note = "6th Australian Communications Theory Workshop 2005 ; Conference date: 02-02-2005 Through 04-02-2005",

}

Krusevac, ZB, Rapajic, PB & Kennedy, RA 2005, Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels. in Proceedings 6th Australian Communications Theory Workshop 2005., 1624252, Proceedings 6th Australian Communications Theory Workshop 2005, vol. 2005, pp. 202-208, 6th Australian Communications Theory Workshop 2005, Brisbane, Australia, 2/02/05. https://doi.org/10.1109/AUSCTW.2005.1624252

Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels. / Krusevac, Zarko B.; Rapajic, Predrag B.; Kennedy, Rodney A.
Proceedings 6th Australian Communications Theory Workshop 2005. 2005. p. 202-208 1624252 (Proceedings 6th Australian Communications Theory Workshop 2005; Vol. 2005).

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

TY - GEN

T1 - Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels

AU - Krusevac, Zarko B.

AU - Rapajic, Predrag B.

AU - Kennedy, Rodney A.

PY - 2005

Y1 - 2005

N2 - This paper analyzes the theoretical limits of the Least Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms performance for the adaptive CDMA receivers in slowly time varying communication channels in the presence of multi-path. We show that since the RLS involves memory and does not explicitly recognize time varying nature of the channel (time varying "true" weights), it has worse tracking performance then the LMS adaptive algorithm. Thus, the implementation of the RLS algorithm for adaptive CDMA receivers operating in time varying channels is very limited. The LMS algorithm provides better tracking, but still speed of channel change must be slow. In addition, we present simulation results which confirm the theoretical analysis.

AB - This paper analyzes the theoretical limits of the Least Mean Square (LMS) and Recursive Least Square (RLS) adaptive algorithms performance for the adaptive CDMA receivers in slowly time varying communication channels in the presence of multi-path. We show that since the RLS involves memory and does not explicitly recognize time varying nature of the channel (time varying "true" weights), it has worse tracking performance then the LMS adaptive algorithm. Thus, the implementation of the RLS algorithm for adaptive CDMA receivers operating in time varying channels is very limited. The LMS algorithm provides better tracking, but still speed of channel change must be slow. In addition, we present simulation results which confirm the theoretical analysis.

KW - Adaptive Kalman filter

KW - Adaptive minimum mean square error (MMSE) receiver

KW - Least mean square (LMS) and recursive least square (RLS) adaptive algorithms

KW - Tracking ability

UR - https://www.scopus.com/pages/publications/33947126625

U2 - 10.1109/AUSCTW.2005.1624252

DO - 10.1109/AUSCTW.2005.1624252

M3 - Conference Paper

SN - 0780390075

SN - 9780780390072

T3 - Proceedings 6th Australian Communications Theory Workshop 2005

SP - 202

EP - 208

BT - Proceedings 6th Australian Communications Theory Workshop 2005

T2 - 6th Australian Communications Theory Workshop 2005

Y2 - 2 February 2005 through 4 February 2005

ER -

Adaptive algorithms performance analysis for adaptive multiuser detection over time varying communications channels

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