EM-based estimators for ARMA parameters of multipath fading channels

Mauri Nissilä; Subbarayan Pasupathy

doi:10.1109/ISSPIT.2003.1341142

EM-based estimators for ARMA parameters of multipath fading channels

Mauri Nissilä, Subbarayan Pasupathy

VTT Technical Research Centre of Finland

University of Toronto

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

Many wireless receiver algorithms including the channel estimators are often based on the assumption that the communication channel is a complex Gaussian process with known mean and autocovariance function. However, the statistics of the fading channel is usually unknown and, therefore, have to be somehow estimated from the received signal. We will show how the frequency selective fading channel can be described by the means of autoregressive moving average (ARMA) parametric models and how the model parameters can be efficiently estimated via the expectation maximization (EM) algorithm and its extensions. Moreover, we will derive computationally attractive recursive estimators for the ARMA channel parameters.

Original language	English
Title of host publication	Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03
Place of Publication	Piscataway
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	399-402
ISBN (Print)	0-7803-8292-7
DOIs	https://doi.org/10.1109/ISSPIT.2003.1341142
Publication status	Published - 2004
MoE publication type	A4 Article in a conference publication
Event	3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03 - Darmstadt, Germany Duration: 14 Dec 2003 → 17 Dec 2003

Conference

Conference	3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03
Country/Territory	Germany
City	Darmstadt
Period	14/12/03 → 17/12/03

Keywords

Gaussian processes
autoregressive moving average processes
channel estimation
covariance analysis
fading channels
multipath channels
optimisation
radio receivers
algorithms
wireless receiver algorithms
multipath fading channels
ARMA channel parameter
expectation maximization algorithm

Access to Document

10.1109/ISSPIT.2003.1341142

Cite this

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title = "EM-based estimators for ARMA parameters of multipath fading channels",

abstract = "Many wireless receiver algorithms including the channel estimators are often based on the assumption that the communication channel is a complex Gaussian process with known mean and autocovariance function. However, the statistics of the fading channel is usually unknown and, therefore, have to be somehow estimated from the received signal. We will show how the frequency selective fading channel can be described by the means of autoregressive moving average (ARMA) parametric models and how the model parameters can be efficiently estimated via the expectation maximization (EM) algorithm and its extensions. Moreover, we will derive computationally attractive recursive estimators for the ARMA channel parameters.",

keywords = "Gaussian processes, autoregressive moving average processes, channel estimation, covariance analysis, fading channels, multipath channels, optimisation, radio receivers, algorithms, wireless receiver algorithms, multipath fading channels, ARMA channel parameter, expectation maximization algorithm",

author = "Mauri Nissil{\"a} and Subbarayan Pasupathy",

year = "2004",

doi = "10.1109/ISSPIT.2003.1341142",

language = "English",

isbn = "0-7803-8292-7",

pages = "399--402",

booktitle = "Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03 ; Conference date: 14-12-2003 Through 17-12-2003",

}

Nissilä, M & Pasupathy, S 2004, EM-based estimators for ARMA parameters of multipath fading channels. in Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03. IEEE Institute of Electrical and Electronic Engineers, Piscataway, pp. 399-402, 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03, Darmstadt, Hesse, Germany, 14/12/03. https://doi.org/10.1109/ISSPIT.2003.1341142

EM-based estimators for ARMA parameters of multipath fading channels. / Nissilä, Mauri; Pasupathy, Subbarayan.
Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03. Piscataway: IEEE Institute of Electrical and Electronic Engineers, 2004. p. 399-402.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - EM-based estimators for ARMA parameters of multipath fading channels

AU - Nissilä, Mauri

AU - Pasupathy, Subbarayan

PY - 2004

Y1 - 2004

N2 - Many wireless receiver algorithms including the channel estimators are often based on the assumption that the communication channel is a complex Gaussian process with known mean and autocovariance function. However, the statistics of the fading channel is usually unknown and, therefore, have to be somehow estimated from the received signal. We will show how the frequency selective fading channel can be described by the means of autoregressive moving average (ARMA) parametric models and how the model parameters can be efficiently estimated via the expectation maximization (EM) algorithm and its extensions. Moreover, we will derive computationally attractive recursive estimators for the ARMA channel parameters.

AB - Many wireless receiver algorithms including the channel estimators are often based on the assumption that the communication channel is a complex Gaussian process with known mean and autocovariance function. However, the statistics of the fading channel is usually unknown and, therefore, have to be somehow estimated from the received signal. We will show how the frequency selective fading channel can be described by the means of autoregressive moving average (ARMA) parametric models and how the model parameters can be efficiently estimated via the expectation maximization (EM) algorithm and its extensions. Moreover, we will derive computationally attractive recursive estimators for the ARMA channel parameters.

KW - Gaussian processes

KW - autoregressive moving average processes

KW - channel estimation

KW - covariance analysis

KW - fading channels

KW - multipath channels

KW - optimisation

KW - radio receivers

KW - algorithms

KW - wireless receiver algorithms

KW - multipath fading channels

KW - ARMA channel parameter

KW - expectation maximization algorithm

U2 - 10.1109/ISSPIT.2003.1341142

DO - 10.1109/ISSPIT.2003.1341142

M3 - Conference article in proceedings

SN - 0-7803-8292-7

SP - 399

EP - 402

BT - Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03

PB - IEEE Institute of Electrical and Electronic Engineers

CY - Piscataway

T2 - 3rd IEEE International Symposium on Signal Processing and Information Technology, ISSPIT'03

Y2 - 14 December 2003 through 17 December 2003

ER -

EM-based estimators for ARMA parameters of multipath fading channels

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Conference

Keywords

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