2011 - MILCOM 2011 Military Communications Conference 2011
DOI: 10.1109/milcom.2011.6127709
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Dependence of radio channel characteristics on terrain variability in hilly/mountainous regions

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Cited by 2 publications
(3 citation statements)
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“…In this study, we have chosen and ( 10 dB). Computations previously reported for and ( 12 dB) [13], which give less rough surface scattering, are qualitatively similar to those reported here. The value of is independent of frequency when the wavelength is on the order of the surface roughness, or smaller [5].…”
Section: B Terrain Scattering Modelsupporting
confidence: 87%
See 1 more Smart Citation
“…In this study, we have chosen and ( 10 dB). Computations previously reported for and ( 12 dB) [13], which give less rough surface scattering, are qualitatively similar to those reported here. The value of is independent of frequency when the wavelength is on the order of the surface roughness, or smaller [5].…”
Section: B Terrain Scattering Modelsupporting
confidence: 87%
“…Cumulative distribution functions from the Monte Carlo simulations of every terrain database are fairly symmetric, so that the path loss is evenly distributed about the average represented by the LSE fit. The dependency of on is nearly the same for all databases, so it is modeled as (13) The slow-fading standard deviation varies from about 5 dB in rolling terrain 5 m to approximately 25 dB in mountainous regions. When computing the CDF of slow fading and the values of , all links were included independent of their length .…”
Section: A Path Loss Modelmentioning
confidence: 99%
“…To describe the phenomena of fading channels, the general distribution of experimental data is proposed (Blaunstein et al, 2006), which takes into account the characteristic features of built‐up terrain and peculiarities of radio wave propagation related with multiple reflections. Monte Carlo simulation is used to analyze the spatial fading statistical model for mobile‐to‐mobile links in hilly and mountainous (Lu et al, 2011). In addition to some classical distribution, a general statistical distribution for multiple small‐scale fading distributions in wireless communication systems was proposed by the researchers in recent years, namely, the k‐ μ distribution (Dias & Yacoub, 2010).…”
Section: Introductionmentioning
confidence: 99%