Estimation of sparse multipath channels

Matthew Sharp, Anna Scaglione

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

10 Citations (Scopus)

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 publicationProceedings - IEEE Military Communications Conference MILCOM
DOIs
StatePublished - 2008
Externally publishedYes
Event2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success - Washington, DC, United States
Duration: Nov 17 2008Nov 19 2008

Other

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

Fingerprint

Multipath propagation
Parameter estimation
Channel estimation
Impulse response
Communication systems

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

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

Estimation of sparse multipath channels. / Sharp, Matthew; Scaglione, Anna.

Proceedings - IEEE Military Communications Conference MILCOM. 2008. 4753291.

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

Sharp, M & Scaglione, A 2008, Estimation of sparse multipath channels. in Proceedings - IEEE Military Communications Conference MILCOM., 4753291, 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success, Washington, DC, United States, 11/17/08. https://doi.org/10.1109/MILCOM.2008.4753291
Sharp M, Scaglione A. Estimation of sparse multipath channels. In Proceedings - IEEE Military Communications Conference MILCOM. 2008. 4753291 https://doi.org/10.1109/MILCOM.2008.4753291
Sharp, Matthew ; Scaglione, Anna. / Estimation of sparse multipath channels. Proceedings - IEEE Military Communications Conference MILCOM. 2008.
@inproceedings{433c0e607eaf41f68143f8ba9b46d526,
title = "Estimation of sparse multipath channels",
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.",
author = "Matthew Sharp and Anna Scaglione",
year = "2008",
doi = "10.1109/MILCOM.2008.4753291",
language = "English (US)",
isbn = "9781424426775",
booktitle = "Proceedings - IEEE Military Communications Conference MILCOM",

}

TY - GEN

T1 - Estimation of sparse multipath channels

AU - Sharp, Matthew

AU - Scaglione, Anna

PY - 2008

Y1 - 2008

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=78650759308&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78650759308&partnerID=8YFLogxK

U2 - 10.1109/MILCOM.2008.4753291

DO - 10.1109/MILCOM.2008.4753291

M3 - Conference contribution

AN - SCOPUS:78650759308

SN - 9781424426775

BT - Proceedings - IEEE Military Communications Conference MILCOM

ER -