DocumentCode
1303219
Title
To implement the CDMA multiuser detector by using transiently chaotic neural network
Author
Baoyun Wang ; Zenya He ; Jingnan Nie
Author_Institution
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Volume
33
Issue
3
fYear
1997
fDate
7/1/1997 12:00:00 AM
Firstpage
1068
Lastpage
1071
Abstract
The design of a suboptimal CDMA multiuser detector is a hot topic. We propose to implement the CDMA multiuser detector by using transiently chaotic neural network (TCNN). After going through a transiently chaotic process, the network reaches the global optimum or the neighbor of global optimum. Computer simulation results show that the proposed detector is clearly superior to Hopfield neural network (HNN) based detector and comparable with the optimal detector.
Keywords
chaos; code division multiple access; neural nets; signal detection; CDMA multiuser detector; global optimum; optimal detector; transiently chaotic neural network; Additive noise; Chaos; Chaotic communication; Computer simulation; Damping; Detectors; Hopfield neural networks; Multiaccess communication; Multiuser detection; Neural networks;
fLanguage
English
Journal_Title
Aerospace and Electronic Systems, IEEE Transactions on
Publisher
ieee
ISSN
0018-9251
Type
jour
DOI
10.1109/7.599336
Filename
599336
Link To Document