ABSTRACT
Intersymbol interference (ISI) may occur in wireline systems, such as telephone systems; storage systems , such as magnetic recording systems; and wireless systems , such as cellular systems . To improve the performance of a communication system, ISI mitigation is one of the most important tasks, which has been an active research area for several decades. An ISI channel is usually described as
where xa(t] and ya(t) are transmitted and received signals, respectively, h(n) is the ISI channel impulse response, and rja(t) is the additive noise. For a band-limited channel with bandwidth W, the above continuous-time ISI channel can be rewritten as the following discrete linear time invariant (LTI) system
where x(n) = xa(nTs), y(ri) = ya(nTs), and rj(n) = r]a(nTs) and Ts < l/(2W). Throughout this book, we adopt the ISI channel model (1.0.2) with additive white Gaussian noise (AWGN) 77(n). The goal of ISI mitigation is to recover the transmitted signal x(n) from the received signal y(ri). All ISI mitigation techniques can be categorized into two classes: post equalizations and transmitter assisted equalizations.
