COMPRESSED SENSING BASED ESTIMATION OF DOUBLY SELECTIVE CHANNELS USING A SPARSITY-OPTIMIZED BASIS EXPANSION
by
Georg Tauböck
,
Franz Hlawatsch
| Citations: | 3 - 1 self |
BibTeX
@MISC{Tauböck_compressedsensing,
author = {Georg Tauböck and Franz Hlawatsch},
title = {COMPRESSED SENSING BASED ESTIMATION OF DOUBLY SELECTIVE CHANNELS USING A SPARSITY-OPTIMIZED BASIS EXPANSION},
year = {}
}
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Abstract
We propose a technique for estimating doubly selective channels within multicarrier communication systems. The new channel estimation technique uses the methodology of compressed sensing for a reduction of the number of pilots, and it employs a basis expansion that is optimized with a criterion of maximum sparsity. Simulation results demonstrate that the optimized basis yields significant performance gains relative to a previously proposed technique. 1.
