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

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Fade <strong>and</strong> Non-Fade Durations <strong>and</strong> Phase Spreads 5-3<br />

5.3 Fade Durations Derived from Measurements in Australia<br />

5.3.1 Experimental Aspects<br />

Measurements per<strong>for</strong>med in south-eastern Australia received left-h<strong>and</strong> circularly<br />

polarized CW transmissions radiated from the Japanese ETS-V satellite at a frequency <strong>of</strong><br />

1.5 GHz (elevation to satellite = 51°). The in- <strong>and</strong> quadrature-phase detector voltages<br />

(noise b<strong>and</strong>width = 1 kHz) as well as the output from a power detector with pre-detection<br />

b<strong>and</strong>width <strong>of</strong> 200 Hz were recorded at a 1 kHz rate. The receiver antenna was comprised<br />

<strong>of</strong> a crossed drooping dipole antenna having 4 dB gain, an azimuthally omni-directional<br />

radiation pattern, <strong>and</strong> a relatively flat elevation pattern over the beamwidth from 15° to<br />

75°.<br />

Fade duration results were derived by analyzing the average <strong>of</strong> two consecutive<br />

1 millisecond samples. All fade <strong>and</strong> non-fade durations were expressed in units <strong>of</strong><br />

traveled distance (m) <strong>for</strong> which the fades were continuously exceeded or were less than<br />

thresholds ranging from 1 to 8 dB. As mentioned, the distance durations may be<br />

converted to time durations by dividing the <strong>for</strong>mer by the speed (which was usually in<br />

the range from 5 to 25 m/s).<br />

The phase data were extracted from the quadrature detected signals with the low<br />

frequency components, due primarily to oscillator drift <strong>and</strong> Doppler shift changes,<br />

rejected by digital filtering. Roadside obstacles <strong>and</strong> scatterers there<strong>for</strong>e caused the phase<br />

shifts measured.<br />

5.3.2 Fade Duration Model<br />

Hase et al. [1991] described the following results, which represent recommendations by<br />

the ITU-R [1994]. Fade durations derived from the Australian measurements were with<br />

good accuracy observed to follow the lognormal distribution.<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 />

, (5-1)<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, erf<br />

is the error function, σ is the st<strong>and</strong>ard deviation <strong>of</strong> ln(dd), <strong>and</strong> ln(α ) represents the<br />

mean value <strong>of</strong> ln(dd). The left-h<strong>and</strong> expression (5-1) was estimated by computing the<br />

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

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

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

desired expression is the joint probability that FD exceeds dd <strong>and</strong> A exceeds Aq. This is<br />

given by

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