Skip to Main Content
The paper presents a new blind estimation and equalization algorithm of digital communication linear time-invariant (LTI) channels with a non-zero delay dominant tap. The algorithm is based on a novel demonstration of a system and observation state space equations, and estimates the transmitted data without any a-priori knowledge on the channel response. Traditional solutions for the problem of equalization, that make use of state space model solutions, do not include the discrete low pass filter (LPF) that exists, in many communication systems, in order to limit the bandwidth of the transmitted symbols. These solutions cannot perform well when the channel has a dominant tap (or more than one) with non-zero delay. Our method shows robustness to different channels, and especially to channels with a non-zero delay dominant tap.