On time varying channel estimation using sparse models

Matthew Sharp, Anna Scaglione

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We consider the design of sufficiently informative inputs for estimating the parameters of a time-varying linear system. Specifically, we assume the output of the system may be modeled as linear combinations of known time-varying elements whose parameters are points in an appropriately chosen grid for the parameter space, over which these parameters are sparse. The sufficiently informative inputs we study are signals that guarantee a unique sparsest solution thereby satisfying minimum requirements for numerically solving the estimation problem. Since in practice the parameters of interest may not lie on the grid constructed for the parameter space, we discuss how our input designs can be modified to provide robustness in the presence of modeling error and noise.

Original languageEnglish (US)
Title of host publication2010 IEEE International Conference on Communications, ICC 2010
DOIs
StatePublished - Aug 13 2010
Externally publishedYes
Event2010 IEEE International Conference on Communications, ICC 2010 - Cape Town, South Africa
Duration: May 23 2010May 27 2010

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Other

Other2010 IEEE International Conference on Communications, ICC 2010
CountrySouth Africa
CityCape Town
Period5/23/105/27/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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    Sharp, M., & Scaglione, A. (2010). On time varying channel estimation using sparse models. In 2010 IEEE International Conference on Communications, ICC 2010 [5502476] (IEEE International Conference on Communications). https://doi.org/10.1109/ICC.2010.5502476