NDLI: An Extended Loo Model with Inhomogeneous Scattering and its Statistical Properties

Content Provider	Springer Nature Link
Author	Papazafeiropoulos, Anastasios K. Kotsopoulos, Stavros A.
Copyright Year	2009
Abstract	In this paper, an analytical model for a land mobile satellite channel is introduced that takes into consideration the Generalized Rice model for characterizing the small scale (fast) fading. The proposed model is enriched by the property of non-homogeneous scattering allowing higher flexibility and a more comprehensive description of the channel. In addition, a lognormal process affects the line of sight component, in order to characterize the large scale (slow) fading due to the shadowing effect caused by physical obstacles such as trees and small buildings. The main statistical properties of the model are investigated. Exact solutions for the power spectral density, the probability density function of the envelope and phase, and the cumulative distribution function of the envelope are derived. Approximate solutions for the level crossing rate and the average duration of fades are obtained. The validation of the model is confirmed by simulation and demonstrated by providing the best fit to certain measurement data corresponding to conditions of light and heavy shadowing. As a conclusion, the extended Loo model is applicable in realistic land mobile satellite channels subjected to various conditions and can be preferable because of its outperformance.
Starting Page	163
Ending Page	180
Page Count	18
File Format	PDF
ISSN	09296212
Journal	Wireless Personal Communications
Volume Number	57
Issue Number	2
e-ISSN	1572834X
Language	English
Publisher	Springer US
Publisher Date	2009-10-24
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Fading channels Power spectral density First and second order statistics Hoyt model Signal, Image and Speech Processing Communications Engineering, Networks Computer Communication Networks
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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