Title :
Sparse FIR Equalization: A New Design Framework
Author :
Gomaa, Ahmad ; Al-Dhahir, Naofal
Author_Institution :
Univ. of Texas at Dallas, Dallas, TX, USA
Abstract :
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.
Keywords :
MIMO communication; convex programming; equalisers; convex-optimization-based solutions; decision feedback equalizers; decision-point signal-to-noise ratio; multiple-input multiple-output DFE; sparse FIR equalization; sparse finite impulse response equalizers; Decision feedback equalizers; Field-flow fractionation; Finite impulse response filter; Signal to noise ratio; Sparse matrices; Vectors;
Conference_Titel :
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4244-8328-0
DOI :
10.1109/VETECF.2011.6092841
