Fast adaptive frequency-domain mutually referenced equalizers for SIMO channels with noise

This paper deals with improving the performance of reduced mutually referenced equalizers for direct blind equalization of SIMO FIR channels in the presence of additive noise. Here we propose a noise-robust optimal-step-size frequency-domain LMS algorithm for estimating the equalizer coefficients. The proposed technique resolves the step-size ambiguity of the LMS algorithm, gives faster convergence speed as compared to the time-domain counterpart. Computer simulation results are presented to show its improved performance for blind adaptive equalization.