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

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12-6<br />

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

measurements were obtained using a tracking helix antenna with beamwidths in the<br />

principal planes <strong>of</strong> approximately 36°. (3) Low <strong>and</strong> high elevation angle measurements<br />

at 20 GHz were made using a tracking horn antenna with a beamwidth <strong>of</strong> 27°.<br />

12.4.2 Suggestions <strong>for</strong> Future Work<br />

The multipath <strong>for</strong>mulation (12-12) was validated at frequencies <strong>of</strong> 870 MHz, 1.5 GHz<br />

<strong>and</strong> 20 GHz <strong>for</strong> three specific antenna types. It is suggested this <strong>for</strong>mulation be further<br />

validated at intermediate frequencies <strong>and</strong> with other antennas having wider beamwidths.<br />

12.5 Fade <strong>and</strong> Non-Fade Durations <strong>and</strong> Phase Spreads (Chapter 5)<br />

Fade <strong>and</strong> non-fade duration models are given <strong>for</strong> tree-lined roads at L-B<strong>and</strong>. These were<br />

derived from measurements made in Central Maryl<strong>and</strong> <strong>and</strong> Southeastern Australia <strong>and</strong><br />

are presently ITU-R Recommendations. Also given are cumulative distributions <strong>of</strong> phase<br />

spreads <strong>for</strong> roadside tree scenarios exhibiting moderate <strong>and</strong> extreme shadowing.<br />

12.5.1 Fade Duration Model <strong>for</strong> L-B<strong>and</strong><br />

The conditional cumulative distribution <strong>of</strong> fade duration <strong>for</strong> tree-lined roads exhibiting<br />

moderate to extreme shadowing (presently an ITU-R Recommendation) was found to<br />

follow the following lognormal distribution given by<br />

For dd ≥ 0. 02 m<br />

1 ⎧ ⎡(ln<br />

dd − ln ⎤⎫<br />

P( FD > dd| A > Aq ) = ⎨ − erf ⎢<br />

⎥⎬<br />

2 ⎩ ⎣<br />

⎦⎭<br />

1<br />

α<br />

, (12-13)<br />

2σ<br />

where P( FD > dd| A > Aq ) represents the probability that the fade duration FD exceeds<br />

the duration distance dd under the condition that the attenuation A exceeds Aq . Also,<br />

erf is the error function, σ is the st<strong>and</strong>ard deviation <strong>of</strong> ln dd , <strong>and</strong> lnα represents the<br />

mean value <strong>of</strong> ln dd . The left-h<strong>and</strong> expression <strong>of</strong> (12-13) was estimated by computing<br />

the percentage number <strong>of</strong> “duration events” which exceed dd relative to the total number<br />

<strong>of</strong> events <strong>for</strong> which A > Aq . An event <strong>of</strong> duration distance dd occurs whenever the fade<br />

crosses a threshold level Aq <strong>and</strong> persists “above that level” <strong>for</strong> the driving distance dd .<br />

For the case in which the threshold Aq = 5 dB ,<br />

α = 0. 22 m, σ = 1215 . m . (12-14)<br />

The RMS deviations <strong>of</strong> actual measured fade duration distributions, when compared to<br />

the above model, was smaller or equal to 18%. The <strong>for</strong>mulation (12-13) was derived<br />

from Australian measurements (elevation angle <strong>of</strong> 51°) <strong>and</strong> validated in central<br />

Maryl<strong>and</strong>, USA, at elevation angles <strong>of</strong> 30°, 45°, <strong>and</strong> 60°.

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