DocumentCode :
2209553
Title :
Performance evaluation of genetic algorithm assisted synchronous Direct Sequence CDMA systems
Author :
Pradhan, Prasanta Kumar ; Patra, Sarat Kumar
Author_Institution :
Dept. of Electron. & Comm. Eng., Nat. Inst. of Technol., Rourkela, India
fYear :
2010
fDate :
July 29 2010-Aug. 1 2010
Firstpage :
151
Lastpage :
154
Abstract :
In this paper, we applied genetic algorithm (GA) scheme as a suboptimal detection of a bit-synchronous code division multiple access (CDMA) systems over a Gaussian channel. The GA scheme attempts to search for the user´s transmitted bit sequence that optimizes the correlation matrix employed. Simulation results showed that the Bit Error Rate (BER) performance of our proposed multiuser detector is better than those of conventional receivers like Minimum Mean Square Error(MMSE), Matched Filter(MF) and Rake Receivers.
Keywords :
Gaussian channels; code division multiple access; genetic algorithms; least mean squares methods; BER; Gaussian channel; MF; MMSE; bit error rate; bit-synchronous code division multiple access systems; genetic algorithm assisted synchronous direct sequence CDMA Systems; genetic algorithm scheme; matched filter; minimum mean square error; multiuser detector; rake receivers; suboptimal detection; AWGN; Bit error rate; Detectors; Fading; Multiaccess communication; Multipath channels; Receivers; DS-CDMA; Evolutionary computing; GA; MMSE; Rake receiver;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial and Information Systems (ICIIS), 2010 International Conference on
Conference_Location :
Mangalore
Print_ISBN :
978-1-4244-6651-1
Type :
conf
DOI :
10.1109/ICIINFS.2010.5578718
Filename :
5578718
Link To Document :
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