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

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6-8<br />

6.5.1 Joint Probabilities<br />

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

In Figure 6-6 are shown a family <strong>of</strong> cumulative fade distribution functions derived from<br />

the above mentioned simulation. The curve labeled d = 0 represents the single terminal<br />

cumulative fade distribution corresponding to data acquired from over 400 km <strong>of</strong> driving<br />

in Australia. The curves labeled d = 1 to 10 m represent the individual joint probability<br />

cumulative fade distribution <strong>for</strong> the indicated antenna separations (in the direction <strong>of</strong><br />

vehicle motion). Such a distribution represents the joint probability that two antennas<br />

spaced a distance d mutually exceed the abscissa value <strong>of</strong> fade. Finally, the curve labeled<br />

“independent fading” corresponds to the joint distribution <strong>of</strong> two links with single<br />

terminal fading, assuming that the two are independent. We note that the joint<br />

probabilities tend to coalesce with increasing antenna separation at about 2/3 the dBdistance<br />

to the independent fading case. That is, the fade distributions <strong>for</strong> 8 m <strong>and</strong> 10 m<br />

separations have insignificant differences.<br />

6.5.2 Diversity Improvement Factor, DIF<br />

The DIF is defined as<br />

Po ( A)<br />

DIF( A, d)<br />

= , (6-5)<br />

P ( A)<br />

d<br />

where P0(A) represents the single terminal probability distribution at the fade depth A,<br />

<strong>and</strong> Pd(A) represents the joint probability distribution <strong>for</strong> an antenna spacing d assuming<br />

the same attenuation A is exceeded. These probabilities may be obtained from Figure 6-<br />

6.<br />

Employing the above results, a least square estimate <strong>of</strong> DIF was derived given by,<br />

[ 0.<br />

2 ln( ) 0.<br />

23]<br />

DIF ( A,<br />

d)<br />

= 1+<br />

A d + , (6-6)<br />

where d is the antenna separation expressed in m <strong>and</strong> A is the fade depth in dB. In Figure<br />

6-7 are plotted a family <strong>of</strong> curves <strong>of</strong> DIF as a function <strong>of</strong> fade depth <strong>for</strong> antenna<br />

separations between 1 <strong>and</strong> 10 m. We note, <strong>for</strong> example, that DIF(8,1) ≈ 3. This implies<br />

that when the antennas are separated 1 m, the distance over which the signal is received<br />

above noise is three times greater <strong>for</strong> diversity operation relative to the single terminal<br />

case assuming an 8 dB fade margin. At the larger separations <strong>for</strong> any given fade depth,<br />

the rate at which DIF increases is shown to diminish rapidly.

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