Improving the Rate of Convergence of Blind Adaptive Equalization for Fast Varying Digital Communication Systems
The recent digital transmission systems impose the application of channel equalizers with bandwidth efficiency, which mitigates the bottleneck of inter-symbol interference for high-speed data transmission-over communication channels. This leads to the exploration of blind equalization techniques that do not require the use of a training sequence. Blind equalization techniques however suffer from computational complexity and slow convergence rate. The Constant Modulus Algorithm (CMA) is a better technique for blind channel equalization. This paper examined three different error functions for fast convergence and proposed an adaptive blind equalization algorithm with variable step size based on CMA criterion.