Sparse FIR Equalization: A New Design Framework

In this paper, we present a new approach to design sparse finite impulse response (FIR) equalizers. We consider linear equalizers, decision feedback equalizers (DFEs), and multiple-input multiple-output DFEs. We formulate greedy and convex-optimization-based solutions for sparse FIR equalizers given a maximum allowable loss in the decision-point signal-to-noise ratio. Simulation results demonstrate substantial reductions in the number of equalizer taps at small performance loss.