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A Performance Analysis of AM-SCS-MMA Adaptive Equalization Algorithm based on the Minimum Disturbance Technique
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 Title & Authors
A Performance Analysis of AM-SCS-MMA Adaptive Equalization Algorithm based on the Minimum Disturbance Technique
Lim, Seung-Gag;
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 Abstract
This paper analysis the AM-SCS-MMA (Adaptive Modulus-Soft Constraint Satisfaction-MMA) based on the adaptive modulus and minimus-disturbance technique in order to improve the stability and robustness in low signal to noise power of current MMA adaptive equalization algorithm. In AM-SCS-MMA, it updates the filter coefficient applying the adaptive modulus and minimum-disturbance technique of deterministic optimization problem instead of LMS or gradient descend algorithm for obtain the minimize the cost function of adaptive equalization. It is possible to improve the equalizer filter stability, robustness to the various noise characteristic and simultaneous reducing the intersymbol interference due to the amplitude and phase distortion occurred at channel. The computer simulation were performed for confirming the improved performance of SCS-MMA. For these, the output signal constellation of equalizer, residual isi, MSE, EMSE (Excess MSE) which means the channel traking capability and SER which means the robustness were applied. As a result of computer simulation, the AM-SCS-MMA have slow convergence time and less residual quantities after steady state, more good robustness in the poor signal to noise ratio, but poor in channel tracking capabilities was confirmed than MMA.
 Keywords
minimum-disturbace technique;residual isi;MSE;EMSE;SER;
 Language
Korean
 Cited by
 References
1.
O.Tanrikulu, A.G.Constantinides, J.A.Chambers, "New Normalized Constant Modulus Algorithms with Relaxation", IEEE Signal Processing Lett., Vol. 4, No. 9, pp. 256-258, 1977.

2.
S.Abrar, A.Zerguind, M.Deriche, "Soft Constraint Satisfaction Multimodulus Blind Equalization Algorithms", IEEE Signal Processing Lett., Vol. 12, No. 9, pp. 637-640, Sep. 2005. crossref(new window)

3.
J.C.Lin, "Bline equalization technique based on an improved constant modulus adaptive algorithm", Proc. Inst. Elect. Eng. Commun., Vol. 149, No. 1, pp. 45-50, Feb. 2002.

4.
M.Rupp, S.C.Douglas, "A Psteriori Analysis of Adaptive Blind Equalizers", Asilomar Conf. Signals, Syst., Computers, Vol. 1, pp. 369-373, 1998.

5.
S.A.Sheikh, P.Fan, "A New Multimodulus Blind Equalizer for Dense QAM Constellation", Wireless, Mobile and Network, Int. Conf. of ICWMMN2006, pp. 1-4, 2006.

6.
S.G.Lim, "Performance Improvement of MCMA Equalization Algorithm Using Adaptive Modulus", Jour. of I.I.B.C., Vol. 14, No. 3, pp. 57-62, June 2014.

7.
S.A.Sheikh, P.Fan, "Two efficient adaptively varying modulus blind equalizers : AVMA and DM/AVMA", Digital Signal Processing 16, pp. 832 -845, 2006. crossref(new window)