Land mobile satellite channel measurements and modeling

Loo, Chun; Butterworth, J. S.

doi:10.1109/5.681373

Cited by 112 publications

(1 citation statement)

References 49 publications

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“…A generalization of the model of (Corazza & Vatalaro, 1994) is made in (Vatalaro, 1995) by adding an extra scatter component. Other researches proved that we can use this model in different frequency bands (Castro, Buonomo, Baptista & Rastburg, 1998;Loo & Butterworth, 1998;Vucetic & Du, 1992). The same model had been expanded in (Hwang, Kim, Ahn & Whang, 1997) towards multiplicative shadowing, but the authors considered independent shadowing effects on multipath and LOS components.…”

Section: Introductionmentioning

confidence: 96%

Approximating Shadowed Rician Model to Other Simpler Models

Aljuneidi

Jaamour

Khorzom

2016

International Journal of Embedded and Real-Time Communication Systems

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Shadowed Rician model is considered to be the most appropriate that is used to characterize the impairments seen in wireless channels, which suffer Line-Of-Sight (LOS) shadowing and small-scale fading. In this model, the Probability Density Function (PDF) of the Signal to Noise Ratio (SNR) per symbol needs numerical solutions to be evaluated. More than that, for some values of the fading parameters, the numerical solution converging too slowly, and so needs too much time to be evaluated. This is considered as a problem in real time applications where delay is a critical issue. In this paper, the authors present and prove approximations for Shadowed Rician model according to the values of the fading parameters, which are the Rice factor and the Shadowing standard deviation. With the proposed approximation, the required PDF could be written in intervals which make it easier to calculate at parameters values that causes slow converging.

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