Quasi-Newton multiuser constant modulus blind equalization based on fractional lower-order statistics.

Autor: Li, Sen, Lin, Bin, Wang, Yan
Zdroj: 2012 IEEE International Conference on Cyber Technology in Automation, Control & Intelligent Systems (CYBER); 1/ 1/2012, p629-633, 5p
Abstrakt: A new quasi-Newton multiuser constant modulus algorithm based on fractional lower-order statistics for the problem of blind source separation and equalization for multiple-input /multiple-output (MIMO) channels in heavy-tailed impulsive noise is introduced. This algorithm can improve the convergence performance than that of the fractional lower-order multiuser constant modulus algorithm (FLOS_MU_CMA) by the exploitation of Hessian information within the weight update equation. Computer simulations are presented to illustrate the effectiveness of the new algorithm in various stable impulsive noise environments with constant modulus and non-constant modulus source alphabets input. [ABSTRACT FROM PUBLISHER]
Databáze: Complementary Index