Adaptive Identification and Equalization for Time-Varying Channel

A new deterrninistic adaptive identification and equalization approach is investigated based on an internal model principle to take account of time-varying dynamics of the channel parameters. The proposed adaptive algorithm incorporates an internal model for compensating the dynamics of the time-varying parameters of the FIR channel model. The stability of the adaptation can be assured by designing the parameter adjusting dynamics in the actaptive algorithm by the help of the small gain theorem and passivity theorem. Its effectiveness of the proposed algorithms is examined and compared to ordinary LMS approaches in numerical simulation of adaptive identification and equalization of a fading channel with parameters changing with a first-order function of time.