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Handbook of Propagation Effects for Vehicular and ... - Courses

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11-18<br />

<strong>and</strong><br />

[ 10 ( K ) ]<br />

<strong>Propagation</strong> <strong>Effects</strong> <strong>for</strong> <strong>Vehicular</strong> <strong>and</strong> Personal Mobile Satellite Systems<br />

m = E log<br />

(11-55)<br />

2 [ ( log(<br />

K ) ) ]<br />

{ } 2<br />

1<br />

2<br />

E 10 m<br />

s = − , (11-56)<br />

where E denotes the “expected value.”<br />

The overall probability density <strong>of</strong> the received power follows by combining (11-51) <strong>and</strong><br />

(11-53) with (11-54)<br />

( P′<br />

) = 1 − S)<br />

f ( P′<br />

) + S f ( P′<br />

K ) f ( K ) dK<br />

( (11-57)<br />

f P P Rice ∫ P Rayleigh<br />

K<br />

∞<br />

′<br />

′ ,<br />

0<br />

′ ,<br />

The cumulative distribution <strong>of</strong> the fractional distance the fade exceeds A dB is found by<br />

evaluating (11-57). Model parameters were determined by Lutz et al. from regressions to<br />

satellite measurements per<strong>for</strong>med in various environments with a 24° elevation angle.<br />

They are summarized in Table 11-4 <strong>for</strong> a vehicle antenna with a hemispherical pattern.<br />

Good fits <strong>of</strong> the model to the measured cumulative distribution functions <strong>of</strong> the<br />

attenuation were obtained.<br />

11.4.3.1 Discussion<br />

The Lutz et al. experiments were carried out using three different receiving antennas.<br />

The shadowing parameter S derived from the corresponding data sets was found to be<br />

dependent on the antenna, which indicates a coupling <strong>of</strong> S to multipath propagation. Had<br />

the model been a true representation <strong>of</strong> LMSS propagation, S would be independent <strong>of</strong><br />

the antenna pattern.<br />

Table 11-4: Typical Parameters <strong>for</strong> Total Shadowing Model <strong>of</strong> Lutz et al. [1986]<br />

Environment S K (dB) m (dB) s (dB)<br />

Urban 0.60 3 -10.7 3.0<br />

Suburban 0.59 9.9 -9.3 2.8<br />

Highway 0.25 11.9 -7.7 6.0<br />

11.4.4 Lognormal Shadowing Model<br />

Smith <strong>and</strong> Stutzman [1986] also incorporated the idea into a model that different statistics<br />

should be used to describe LMSS signal variations depending on whether the propagation<br />

path is shadowed or unshadowed. They developed a model, which assigns Rayleigh,<br />

Ricean <strong>and</strong> lognormal behavior <strong>of</strong> the received signal voltage in a manner similar to<br />

Loo's model. In the unshadowed state, the received signal consists <strong>of</strong> the sum <strong>of</strong> the<br />

direct signal <strong>and</strong> a constant average intensity Rayleigh voltage due to the diffusely

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