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
fDate :
7/1/1997 12:00:00 AM
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;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on