Paper Info
Title
An application of ICA to blind DS-CDMA detection: a joint optimization criterion
Abstract
This paper studies the application of the theory and algorithms of blind signal extraction to solve the problem of the detection of the desired users in a DS-CDMA communications system. Typically, the uplink in this system is characterized by users that transmit asynchronously and propagation channels that are multipath. We address inverse filter criterion introduced by Tugnait in [1] and we show that a prewhitening preprocessing approach together with the joint combination of several higher order statistics improves the detector performance.
Year
DOI
Venue
2003
10.1007/3-540-44869-1_39
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Keywords
Field
DocType
ds-cdma communications system,propagation channel,prewhitening preprocessing approach,paper study,higher order statistic,blind signal extraction,joint combination,joint optimization criterion,blind ds-cdma detection,inverse filter criterion,detector performance,communication system
Multipath propagation,Computer science,Higher-order statistics,Communications system,Algorithm,Independent component analysis,Code division multiple access,Detector,Inverse filter,Telecommunications link
Conference
Volume
ISSN
Citations 
2687
0302-9743
2
PageRank 
References 
Authors
0.38
3
2
Name
Order
Citations
PageRank
Iván Durán1101.58
Sergio Cruces220619.05