Affiliation:
1. Beijing Information Technology Institute
Abstract
The constant modulus algorithm (CMA) equalizer is perhaps the best known and the most popular scheme for blind adaptive channel equalization. In this paper, a modified constant modulus algorithm (modified CMA or MCMA) is proposed by modifying its error function. We have discussed the MCMA to blind channel equalization for baud-rat sampling in single-user case. Computer simulations are provided for 8PSK signals in noise environments under frequency selective channels. Results demonstrate that the MCMA displays much superior performance to the CMA for both convergence-time and intersymbol interference (ISI) or mean square error (MSE).
Publisher
Trans Tech Publications, Ltd.
Reference10 articles.
1. Godard D. N., Self-recovering equalization and carrier tracking in two-dimensional data communication system, IEEE Trans. Communi., 28, pp.1867-1875, (1980).
2. Trichler J. R., Agree B. G., A new approach to multipath correction of constant modulus signals, , IEEE Trans. Acoustics, Speech, and Signal Processing, 31(2), pp.457-471, (1983).
3. Han-Fu Chen, Xi-Ren Cao, and Jie Zhu, Convergence of a stochastic-approximation-based algorithm for blind channel identification, IEEE Trans. Information Theory, vol. 48, pp.1214-1225, (2002).
4. Jitendra K. Tugnait, Channel estimation and equalization using higher-order statistics, , Giannakis G B. et al. Signal processing advances in wireless and mobile communications Volume 1, Prentice Hall PTR, (2001).
5. Lin He, Moeness Amin, Charles Reed, Jr, Adaptive equalization techniques for indoor dynamic wireless communication channels, Raghuveer M. Rao, Soheil A. Dianat, Michael D. Zoltowski, Digital Wireless Communication , Bellingham, Washington, SPIE, 2001, pp.28-38.