Blind Detection in Frequency Domain for MC-CDMA communication System Using Particle Swarm Optimization

In digital communications, the constant modulus algorithm (CMA) for blind channel equalization has some disadvantage such as slow convergence speed and phase rotation. Therefore, a modified constant modulus algorithm was developed for blind channel equalization. In this paper, we put forward a novel...

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Bibliographic Details
Published in2007 IFIP International Conference on Wireless and Optical Communications Networks pp. 1 - 7
Main Authors Ho-Lung Hung, Shu-Hong Lee, Wen
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2007
Subjects
Bit error rate
Blind equalizers
Computational modeling
Convergence
Digital communication
Direct-sequence code-division multiple access
Frequency domain analysis
Multicarrier code division multiple access
Multiuser detection
Particle swarm optimization
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Summary:In digital communications, the constant modulus algorithm (CMA) for blind channel equalization has some disadvantage such as slow convergence speed and phase rotation. Therefore, a modified constant modulus algorithm was developed for blind channel equalization. In this paper, we put forward a novel receiver, which combines CMA blind adaptive multiuser detection with particle swarm optimization (PSO) algorithm in frequency domain for multi-carrier direct sequence code division multiple access systems. To work around potentially computational intractability, the proposed scheme exploits heuristics in consideration of both global and local exploration CMA. The simulation results show that BER performance of the PSO-CMA blind detection is superior to that of steepest decreasing constant modulus algorithm (DSCMA), constant modulus algorithm (CMA) based detection and the complexity of the former is much lower than that of the latter.
ISBN:1424410045
9781424410040
ISSN:1811-3923
DOI:10.1109/WOCN.2007.4284200