Low-complexity variable forgetting factor mechanism for recursive least-squares algorithms in interference suppression applications

In this work, the authors propose a low-complexity variable forgetting factor (VFF) mechanism for recursive least-squares algorithms in interference suppression applications. The proposed VFF mechanism employs an updated component related to the time average of the error correlation to automatically...

Full description

Saved in:
Bibliographic Details
Published in:IET communications Vol. 7; no. 11; pp. 1070 - 1080
Main Authors: Cai, Yunlong, de Lamare, Rodrigo C
Format: Journal Article
Language:English
Published: Stevenage The Institution of Engineering and Technology 01.07.2013
John Wiley & Sons, Inc
Subjects:
Algorithms
code division multiple access
Convergence
direct‐sequence code‐division multiple access system
error correlation
fast convergence analysis
Interference
interference suppression
interference suppression applications
least mean squares methods
Least squares method
low‐complexity variable forgetting factor mechanism
Mathematical analysis
mean‐squared error prediction
Multiple access
Recursive
recursive least‐squares algorithms
spread spectrum communication
Tracking
tracking analysis
VFF mechanism
tracking analysis
least mean squares methods
interference suppression
interference suppression applications
convergence
code division multiple access
spread spectrum communication
recursive least-squares algorithms
mean-squared error prediction
error correlation
direct-sequence code-division multiple access system
fast convergence analysis
VFF mechanism
low-complexity variable forgetting factor mechanism
ISSN:1751-8628, 1751-8636
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this work, the authors propose a low-complexity variable forgetting factor (VFF) mechanism for recursive least-squares algorithms in interference suppression applications. The proposed VFF mechanism employs an updated component related to the time average of the error correlation to automatically adjust the forgetting factor in order to ensure fast convergence and good tracking of the interference and the channel. Convergence and tracking analyses are carried out and analytical expressions for predicting the mean-squared error of the proposed adaptation technique are obtained. Simulation results for a direct-sequence code-division multiple access system are presented in non-stationary environments and show that the proposed VFF mechanism achieves superior performance to previously reported methods at a reduced complexity.
Bibliography:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:1751-8628
1751-8636
DOI:10.1049/iet-com.2012.0264