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

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11-6<br />

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

distribution was fit to (11-8) from which a "mean excess path loss, μ ," <strong>and</strong> "st<strong>and</strong>ard<br />

deviation, σ ," was derived. The model equations <strong>of</strong> Hess <strong>for</strong> PS = 90% valid in the<br />

range <strong>of</strong> PL from 50% to 90% are given by<br />

where<br />

A ( PL<br />

) = μ + k(<br />

PL<br />

) σ , (11-9)<br />

μ = + a ENV + a HEAD + a FREQ + a SIDE + a ELEV , (11-10)<br />

a0 1<br />

2<br />

3<br />

4<br />

5<br />

σ = + b ENV + b HEAD + b FREQ + b SIDE + b ELEV . (11-11)<br />

b0 1<br />

2<br />

3<br />

4<br />

5<br />

In (11-9), k is the number <strong>of</strong> st<strong>and</strong>ard deviations <strong>for</strong> various values <strong>of</strong> PL <strong>and</strong> are given by<br />

⎧ 0<br />

⎪<br />

1.<br />

28<br />

k = ⎨<br />

⎪1.<br />

65<br />

⎪⎩<br />

2.<br />

33<br />

P<br />

P<br />

P<br />

P<br />

L<br />

L<br />

L<br />

L<br />

=<br />

=<br />

=<br />

=<br />

50%<br />

90%<br />

95%<br />

99%<br />

. (11-12)<br />

The model parameters ENV, HEAD, FREQ, SIDE, <strong>and</strong> ELEV are defined in Table 11-1.<br />

We note that the model contains the following elements: (1) the local environment (ENV)<br />

such as urban, semi-urban (commercial) <strong>and</strong> suburban, (2) the vehicle heading (HEAD)<br />

with respect to the satellite azimuth, (3) the frequency (FREQ); UHF or L-B<strong>and</strong>, (4) the<br />

side (SIDE) <strong>of</strong> the road driven (satellite located across opposing lane or not) <strong>and</strong> (5) the<br />

elevation angle (ELEV) to the satellite. The downtown area <strong>of</strong> a city, with many tall<br />

buildings <strong>and</strong> a rectangular street grid would be characterized as urban. Streets lined by<br />

shopping centers as well as by businesses with <strong>of</strong>f-street parking lots are classified as<br />

commercial, <strong>and</strong> areas with small one- or two-story houses along moderately tree-lined<br />

roads define the suburban environment. Data acquired in rural surroundings are included<br />

in the suburban category. The coefficients <strong>for</strong> the mean fade μ <strong>and</strong> slope σ , given in<br />

(11-10) <strong>and</strong> (11-11), respectively, are summarized in Table 11-2 along with their st<strong>and</strong>ard<br />

errors.<br />

The overall st<strong>and</strong>ard errors <strong>of</strong> μ <strong>and</strong> σ are<br />

S. E.(<br />

μ ) = 3.<br />

65 dB , (11-13)<br />

S. E.(<br />

σ ) = 2.<br />

5 dB . (11-14)<br />

In order to extend the small-scale coverage from the modeled value <strong>of</strong> PS = 90% as given<br />

by (11-9) to (11-11) <strong>and</strong> Table 11-2 to other values <strong>of</strong> PS, we use the following<br />

<strong>for</strong>mulation:

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