Advances in Computer Science : an International Journal
Performance Estimation of DS-CDMA Receivers Using Genetic Algorithm
Abstract
Direct sequence-code division multiple access (DS-CDMA) technique is used in cellular systems where users in the cell are separated from each other with their unique spreading codes. These systems suffer from multiple access interference (MAI) due to other users transmitting in the cell, channel inter symbol interference (ISI) due to multipath nature of channels in presence of additive white Gaussian noise (AWGN).
This paper presents an investigation on use of new type of DSCDMA receiver called Genetic Algorithm based DS-CDMA receiver. Genetic Algorithm is robust optimization technique and does not fall into local minima, hence this gives better weight optimization of any system.
Extensive simulation studies demonstrate the performance of the different linear and nonlinear DS-CDMA receivers like RAKE receiver, matched filter (MF) receiver, minimum mean square error (MMSE) receiver using gold sequences and the performance has been compared with GA based receiver. It is seen that GA based DS-CDMA receiver performs much better than other type of receivers.
This paper presents an investigation on use of new type of DSCDMA receiver called Genetic Algorithm based DS-CDMA receiver. Genetic Algorithm is robust optimization technique and does not fall into local minima, hence this gives better weight optimization of any system.
Extensive simulation studies demonstrate the performance of the different linear and nonlinear DS-CDMA receivers like RAKE receiver, matched filter (MF) receiver, minimum mean square error (MMSE) receiver using gold sequences and the performance has been compared with GA based receiver. It is seen that GA based DS-CDMA receiver performs much better than other type of receivers.
Keywords
DS-CDMA; genetic algorithm-based multi-user detector
