Steepest Descent Algorithm Implementation for Multimodulus Blind Equalization
Wang Dale · Journal of Information Engineering University · 2013
Blind equalization algorithms are generally optimized via stochastic gradient descent( SGD) method. SGD has low complexity at the cost of slower convergence and greater steady-state error. From practical considerations,this paper presents a novel steepest descent batch implementation method for multimodulus blind equalization algorithm,which does not generate intermediate receiver output in each iteration. The steepest descent direction of the cost function can be determined based on equalizer parameters and pre-computed channel output statistics,which results in higher convergence speed and less steady-state errors. The novel method will only introduce a fixed processing delay pipeline,making it well suited for both fixed and variable length packet transmissions.