Estimation of the Ricean K Factor in the Presence of Shadowing

Xavier Leturc; Philippe Ciblat; Christophe J. Le Martret

doi:10.1109/LCOMM.2019.2950027

Estimation of the Ricean K Factor in the Presence of Shadowing

Xavier Leturc
, Philippe Ciblat
, Christophe J. Le Martret

Land and Joint Systems

Research output: Contribution to journal › Article › peer-review

Abstract

We address the estimation of the Ricean K factor when the available complex channel samples are noisy and subject to Nakagami-m shadowing, i.e., the line-of-sight component is modeled as a Nakagami-m random variable. We propose two estimators: one based on the expectation-maximization (EM) procedure, and a second one based on the method of moment (MoM). The MoM estimator can be used to initialize the EM procedure. We show by simulations that the two proposed estimators outperform the existing ones.

Original language	English
Article number	8886599
Pages (from-to)	108-112
Number of pages	5
Journal	IEEE Communications Letters
Volume	24
Issue number	1
DOIs	https://doi.org/10.1109/LCOMM.2019.2950027
Publication status	Published - 1 Jan 2020

Keywords

Channel
Ricean
estimation
shadowing

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10.1109/LCOMM.2019.2950027

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abstract = "We address the estimation of the Ricean K factor when the available complex channel samples are noisy and subject to Nakagami-m shadowing, i.e., the line-of-sight component is modeled as a Nakagami-m random variable. We propose two estimators: one based on the expectation-maximization (EM) procedure, and a second one based on the method of moment (MoM). The MoM estimator can be used to initialize the EM procedure. We show by simulations that the two proposed estimators outperform the existing ones.",

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AB - We address the estimation of the Ricean K factor when the available complex channel samples are noisy and subject to Nakagami-m shadowing, i.e., the line-of-sight component is modeled as a Nakagami-m random variable. We propose two estimators: one based on the expectation-maximization (EM) procedure, and a second one based on the method of moment (MoM). The MoM estimator can be used to initialize the EM procedure. We show by simulations that the two proposed estimators outperform the existing ones.

KW - Channel

KW - Ricean

KW - estimation

KW - shadowing

UR - https://www.scopus.com/pages/publications/85078276761

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ER -

Estimation of the Ricean K Factor in the Presence of Shadowing

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Keywords

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