Browse > Article
http://dx.doi.org/10.7236/JIIBC.2014.14.6.55

Adaptive Equalization Algorithm of Enhanced CMA using Minimum Disturbance Technique  

Kang, Dae-Soo (Dept. of Information and Communication, Kongju National University)
Publication Information
The Journal of the Institute of Internet, Broadcasting and Communication / v.14, no.6, 2014 , pp. 55-61 More about this Journal
Abstract
This paper related with the ECMA (Enchanced CMA) algorithm performance which is possible to simultaneously compensation of the amplitude and phase by appling the minimum disturbance techniques in the CMA adatpve equalizer. The ECMA can improving the gradient noise amplification problem, stability and roburstness performance by the minimum disturbance technique that is the minimization of the equalizer tap weight variation in the point of squared euclidiean norm and the decision directed mode, and then the now cost function were proposed in order to simultaneouly compensation of amplitude and phase of the received signal with the minimum increment of computational operations. The performance of ECMA algorithm was compared to present MCMA by the computer simulation. For proving the performance, the recovered signal constellation that is the output of equalizer output signal and the residual isi and Maximum Distortion charateristic and MSE learning curve that are presents the convergence performance in the equalizer and the overall frequency transfer function of channel and equalizer were used. As a result of computer simulation, the ECMA has more better compensation capability of amplitude and phase in the recovered constellation, and the convergence time of adaptive equalization has improved compared to the MCMA.
Keywords
CMA; ECMA; Minimum Disturbance Technique; residual isi; Maximum Distortion;
Citations & Related Records
연도 인용수 순위
  • Reference
1 J.C.Lin, "Blind equalisation technique based on an improved constant modulus adaptive algorithm", Proc. IEE of Communication, Vol.149, No.1, pp.45-50, 2002.
2 S.Haykin et al., "Adaptive Tracking of Linear Time Variant Systems by Extended RLS Algorithms", IEEE Trans. on Signal Processing, Vol.45, No.5, May 1997
3 J.R.Treichler, M.G.Larimore, "New Processing Techniques based on the Constant Modulus Adaptive Algorithm", IEEE Trans. on. A.S.S.P., Vol. ASSP-33, No.2, pp.420-431, Apr. 1985.
4 S.R.Thakallapalli, S.R.Nelatury, S.S.Rao, "A New Error Function for Fast Phase Recovery of QAM Signals in CMA Blind Equalizers", IEEE Workshop on Statistical Signal Processing, pp.70-73, 2003
5 L.He, M.Amin, "A Dual mode technique for improved blind equalization for QAM signals", IEEE S.P. Letters, Vol.10, No.2, pp.29-31, Feb. 2003   DOI   ScienceOn
6 A.M.Nassar, E.E.Nahal, "Adaptive Blind Equlization Techinque to Enhance the Constant Modulus Algorithm Performance", International Computer Engineering Conf., pp.146-151, 2010.
7 Godard D.N., "Recovering equalization and carrier tracking in two-dimensional data communication systems", IEEE Trans. Com., COM-28, pp.1867-1875, Nov. 1980.   DOI
8 Oh,K.N., "Modified constant modulus algorithm : blind equalization and carrier phase recovery algorithm", Proc. of ICC'95, PP.498-502, June 1995.