A blind multiuser detector based on neural network

Author

Neng, Wang ; Baoyu, Zheng ; Weiping, Zhu

Author_Institution

Nanjing Univ. of Posts & Telecommun., China

Volume

vol.2

fYear

1998

fDate

22-24 Oct 1998

Abstract

A neural network based multiuser detector for DS-CDMA systems is presented. By using the minimum output energy criterion, the detector is formulated as a constrained optimization problem and is then resolved efficiently by using neural network. The computational complexity of the proposed detector is only O(N), making its real-time implementation possible. It is shown that the proposed method is superior in computational efficiency to the conventional CRLS blind algorithm

Keywords

code division multiple access; computational complexity; neural nets; optimisation; signal detection; spread spectrum communication; CRLS blind algorithm; DS-CDMA systems; blind multiuser detector; computational complexity; computational efficiency; constrained optimization problem; minimum output energy criterion; multiple access interference; neural network; real-time implementation; Adaptive filters; Computational complexity; Computational efficiency; Constraint optimization; Detectors; Finite impulse response filter; Information filtering; Multiaccess communication; Multiple access interference; Neural networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Technology Proceedings, 1998. ICCT '98. 1998 International Conference on

Conference_Location

Beijing

Print_ISBN

7-80090-827-5

Type

conf

DOI

10.1109/ICCT.1998.741137

Filename

741137