Estimation of sparse multipath channels

Matthew Sharp, Anna Scaglione

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

11 Scopus citations

Abstract

In many communication systems the channel impulse response can be characterized with a parametric form, though the channel estimation is often performed using an equivalent discrete-time linear time-invariant system (usually modeled as a Moving Average (MA) system). When the number of parameters which describe the channel is less than the number of unknowns in the MA model, the ML estimate of the parameters describing the channel may lead to a better estimate of the channel response. However, this ML estimation procedure is highly complex. The objectives of this paper are 1) to cast the parameter estimation problem as a sparse estimation problem, 2) to compare the performance of this estimate with the CRB of the parameter estimation problem and the least squares estimate, and 3) to present novel guidelines on the amount of resources which one must devote to training for identification of the channel.

Original languageEnglish (US)
Title of host publication2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
DOIs
StatePublished - Dec 1 2008
Externally publishedYes
Event2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success - Washington, DC, United States
Duration: Nov 17 2008Nov 19 2008

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM

Other

Other2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
CountryUnited States
CityWashington, DC
Period11/17/0811/19/08

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Sharp, M., & Scaglione, A. (2008). Estimation of sparse multipath channels. In 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success [4753291] (Proceedings - IEEE Military Communications Conference MILCOM). https://doi.org/10.1109/MILCOM.2008.4753291