DocumentCode
2518629
Title
Sparse FIR Equalization: A New Design Framework
Author
Gomaa, Ahmad ; Al-Dhahir, Naofal
Author_Institution
Univ. of Texas at Dallas, Dallas, TX, USA
fYear
2011
fDate
5-8 Sept. 2011
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Vehicular Technology Conference (VTC Fall), 2011 IEEE
Conference_Location
San Francisco, CA
ISSN
1090-3038
Print_ISBN
978-1-4244-8328-0
Type
conf
DOI
10.1109/VETECF.2011.6092841
Filename
6092841
Link To Document