IJSER Home >> Journal >> IJSER
International Journal of Scientific and Engineering Research
ISSN Online 2229-5518
ISSN Print: 2229-5518 12    
Website: http://www.ijser.org
scirp IJSER >> Volume 2, Issue 12, December 2011
Reduction of Multiple Access Interference in CDMA by using Improved Minimum Mean Square Error Receiver
Full Text(PDF, 3000)  PP.  
Harsimranjit Singh Gill, Gurjot Singh Gaba, Nancy Gupta
Code division multiple access, Multiple access interference, multi-user detection, Minimum mean square error, Bit error rate, additive white Gaussian noise. Binary phase shift keying, Signal to noise ratio
Code division multiple access (CDMA) is a most promising technique for using channel efficiency. Multiple access interference (MAI) is a limiting factor for the capacity of CDMA system. Proposed design is based on the step by step practical implementation of matched filter (MF) detection and minimum mean squared error (MMSE) detection. Thus, providing flexibility of variations in all parameters of interest which are otherwise difficult to accommodate in a theoretical model. In this paper, matched filter, decorrelating filter and MMSE and other detection techniques have been proposed to alleviate the effects of the MAI.
[1] L.Tharani and Dr. R.P.Yadav, “Performance Evaluation of Multistage Multiuser Detector for Asynchronous DS-CDMA System” IEEE Proceeding of International Conference on Computational Intelligence and Multimedia Applications (ICCIMA-07), Volume IV, pp. 316-321, Sivakasi, Tamil Nadu, India, Dec 2007

[2] Andrew J. Viterbi, “CDMA Principles of Spread Spectrum Communication”, Addison Wesley Longman, ISBN: 0201-63374-4.

[3] R.L.Pickholtz, L.B.Milstein, and D.L.Schilling, “Spread Spec-trum for Mobile Communications”, IEEE Transactions on Vehicular Technology, vol. 40 (2), 1991, pp. 313–322.

[4] A.A.Patel and A.D.Patel, “Matlab Implementation of Multiuser Code Division Multiple Access”, Journal of telecommunications, vol. 7, issue 2, pp. 40-45, 2011.

[5] H. V. Poor, S. Verdu, ""Single-user detectors for multiuser channels,"" IEEE Transactions on Communication, Vol. 36, no. 1, pp. 50-60, Jan. 1988.

[6] W. Shao-Wei, Z. Qio-Ping and K. Li-Shan, “An Efficient Evolutionary Algorithm for Multiuser Detection in CDMA Systems”, IEEE Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, vol. 5, pp. 3002-3006, 2005

[7] H. V. Poor and S. Verdu, “Probability of Error in Multiuser Detection,” IEEE Transactions on Information Theory, vol. 43, pp. 858–871, May 1997.

[8] S. Buzzi and M. Lops, “Performance Analysis for the Improved Linear Multiuser Detectors in BPSK-Modulated DS-CDMA Systems”, IEEE Transactions on Communications, vol.51, pp. 37-42, 2003.

[9] R. Lupas, S. Verdu, ""Near-far resistance of multiuser detectors in asynchronous channels,"" , IEEE Transactions on Communications, Vol. 38, pp. 496- 508, April 1990.

[10] K.S. Gilhousen et al, ""On the Capacity of a Cellular CDMA System,"" IEEE Transactions on Vehicular Technology, Vol. 40, May 1991, pp. 303-312.

[11] Z. Mao and V.K. Bhargava, “Adaptive Semi-Blind Linear Parallel Interference Cancellation Multiuser Detection for DS-CDMA Systems”, IEEE Communication Society, pp. 2813-2817, 2004

[12] L.G. F.Trichard, J.S. Evans and I.B. Collings, “Optimal Multistage Linear Multiuser Receivers”, IEEE Transaction on Wireless communications, vol. 4, pp. 1092-1101, 2005.

Untitled Page