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

fYear

1999

fDate

1999

Firstpage

71

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference, 1999. WCNC. 1999 IEEE

Conference_Location

New Orleans, LA

ISSN

1525-3511

Print_ISBN

0-7803-5668-3

Type

conf

DOI

10.1109/WCNC.1999.797788

Filename

797788