CMA Blind Multiuser Detector Based on FLOS in Impulse Noise

Article Preview

Abstract:

Blind multiuser detector can suppress the MAI(multiple address interference) effectively. Gaussian channel noise is assumed in the traditional methods, but the non-Gaussian channel noise is more realistic. This paper proposes a new CMA(Constant Modulus Algorithm) criterion employing FLOS(fractional lower-order statistic). Theoretical analyses and the computer simulations indicate that the associated FLOS-CMA blind MUD(MultiUser Detection) method,based on a stochastic gradient descent algorithm has a good performance in BER(bit error rate). The traditional MUD algorithm is the special case of this algorithm.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

187-190

Citation:

Online since:

November 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Verdu S. Multiuer Detection[M]. Cambridge: Cambridge University Press, (1998).

Google Scholar

[2] Verdu S. Minimum probability of error for asynchronous Gaussian multiple-access channels[J]. IEEE Trans Inform Theory, 1986, 32(1): 85-96.

DOI: 10.1109/tit.1986.1057121

Google Scholar

[3] Zhang Xianda, Bao zheng. Communication Signal Processing[M]. Beijing: national defence industrial press, (2000).

Google Scholar

[4] Sanchez M G. Impulsive noise measurements and characterization in a UHF digital TV channel[J]. IEEE Transactions on Electro magnetic Compatibility. (1999).

DOI: 10.1109/15.765101

Google Scholar

[5] AHANDRA A. Measurements of radio impulsive noise from various sources in an indoor enbironment at 900MHZ and 1800MHz[A]. The 13th IEEE International Symposium on personal, Indoor and Mobile Radio Communications[C]. 2002, 639-643.

DOI: 10.1109/pimrc.2002.1047300

Google Scholar

[6] Chuah T C, Sharif B S, Hinton O R. Robust decorrelating decision-feed back multiuser in non-Gaussian channdls[J]. IEEE Trans Signal Processing, 2001, 81 (11): 1997-(2004).

DOI: 10.1016/s0165-1684(01)00089-5

Google Scholar

[7] Hmidat A M, Sharif B S , et al. Nonlinear space-time multiuser detector for non-Gaussian channel[J]. Computers and Communications Proceedings, 2004, 2(28): 610-614.

DOI: 10.1109/iscc.2004.1358606

Google Scholar

[8] Tang hong. Study on the Theory of Generalized Normal-distribution SignalProcessing and Its Application in Communications[D]. Dalian University of Technology, (2006).

Google Scholar

[9] Tanrikulu, Constant inides A.G. Chambers J. A New normalized constant modulus algorithms with relaxation[J]. IEEE Signal Processing Letters, 1997, 4(9): 256-258.

DOI: 10.1109/97.623042

Google Scholar

[10] Nikias C L , Shao M. Signal Processing with Alpha-Stable Distribution and Application[M]. New York: John Wiley & Sons, Inc, (1995).

Google Scholar