Constant Modulus Algorithm Based on Different Error Functions Weighted by Variable Coefficient

Qiao Xi Zhou; Ye Cai Guo

doi:10.4028/www.scientific.net/AMM.66-68.1579

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 66-68Constant Modulus Algorithm Based on Different...

Constant Modulus Algorithm Based on Different Error Functions Weighted by Variable Coefficient

Abstract:

To improve equalization performance of the constant modulus algorithm (CMA), we study that error functions have an influence on the performance of the algorithm in this paper. Aiming at the character of different error functions, a new style of error function weighted by a variable coefficient is proposed. And a new CMA based on the new error function (VCMA) is proposed too. Because of variable-coefficient adjustability, the value of this new error function can become larger at the beginning of iteration and smaller at the end of iteration in the new algorithm. From gradient descent method, VCMA can have faster convergence rate and lower residual error than the CMA. Both theoretical analysis and experimental results have shown the effectiveness of the proposed algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 66-68)

Pages:

1579-1585

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.66-68.1579

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Online since:

July 2011

Authors:

Qiao Xi Zhou, Ye Cai Guo

Keywords:

Constant Modulus, Error Function, Variable Coefficient

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References

[1] Godard D. Self-recovering equalization and carrier tracking in two dimensional data communication systems. In: IEEE Transaction on Communication, vol. 28, no. 11, (1980) , pp.1867-1875.

DOI: 10.1109/tcom.1980.1094608

Google Scholar

[2] C. R. Johnson Jr., P. Schniter, J. T. Endres, et al. Blind equalization Using the Constant Modulus Criterion: A Review. In: Proceedings of the IEEE, vol. 86, No. 10, (1998) , p.1927-(1949).

DOI: 10.1109/5.720246

Google Scholar

[3] Dimitris G. Manolakis, Vinay k. Ingle and Stephen M. Kogon. Statistical and adaptive signal processing. Publishing house of electronics industry, Beijing (2002 ).

Google Scholar

[4] Guo Yecai. Adaptive blind equalization techniques. Hefei University of Technology Press, Hefei(2007) (In Chinese).

Google Scholar

[5] Rao Wei. The Extended Research on Bussgang Blind Equalization Algorithm. The master thesis of Anhui University of Science and Technology, Huainan(2007) (In Chinese).

Google Scholar

[6] Guo Yecai, Han Yingge and Rao Wei. Novel Variable Step Size Blind Equalization Algorithm Based on Lognormal Error Function. Journal of System Simulation, vol. 19, no. 6, pp.1224-1227, (2007) (In Chinese).

Google Scholar

[7] Feng Wang. Blind equalization algorithms using higher-order statistics for underwater acoustic channel. Ph. D. Thesis of Northwestern Polytechnical Universtiy, xi'an, (2003) (In Chinese).

Google Scholar