Title :
Multi-user detection in DS/CDMA systems based on modified transiently chaotic neural network
Author :
Wen, Zhong ; Shixin, Cheng
Author_Institution :
Dept. of Radio Eng., Southeast Univ., Nanjing, China
Abstract :
We propose the application of a modified transiently chaotic neural network to solve the optimum detection problem in DS/CDMA systems. The optimum detection problem is formulated as an energy minimization problem. It can be minimized by a modified transiently chaotic neural network (MTCNN). The MTCNN-based detector offers performance improvement over the existing Hopfield neural network detector with a little increase in computational complexity. Numerical results show that the proposed detector can approximate the optimum detector closely
Keywords :
chaos; code division multiple access; multiuser channels; neural nets; signal detection; spread spectrum communication; telecommunication computing; DS/CDMA systems; Hopfield neural network detector; MTCNN-based detector; computational complexity; energy minimization problem; modified transiently chaotic neural network; multi-user detection; optimum detection; Chaos; Chaotic communication; Detectors; Hopfield neural networks; Intelligent networks; Maximum likelihood detection; Multiaccess communication; Multiple access interference; Multiuser detection; Neural networks;
Conference_Titel :
Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-5668-3
DOI :
10.1109/WCNC.1999.797788
