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Propagation Effects Handbook for Satellite Systems - DESCANSO ...

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has been presented by Muchmore and Wheelon (1955). The derivation<br />

employs a ray theory approach and assumes an exponental spatial<br />

correlation <strong>for</strong> the turbulence scale. uo is in radians, 4 is the<br />

scale length of the turbulent eddy, Lt is the path length through the<br />

turbulence, ~ is wavelength, and ~z is the mean-square fluctuation<br />

in the refractivity N. When using this expression, one should only<br />

assume values of 4 and A~z such that<br />

The results of using this relation at the limiting values of<br />

4LNZ <strong>for</strong> 3 and 10 GHz are presented in Figure 6.5-11. Typical<br />

values of 4 are 60 meters and ~z = 1/2. This modeW indicates that<br />

the phase delay fluctuations increase linearly with frequency and<br />

become significantly less if the antenna diameter approaches the<br />

scale length.<br />

Another technique <strong>for</strong> estimating these phase delay fluctuations<br />

based on the monthly variance of the surface refractivity and<br />

estimates of the frequency spectrum of the delay fluctuation have<br />

been made by Nusple, et al (1975).<br />

6.5.3.2 Estimate of Phase Ripp le <strong>Effects</strong> on Earth-Space Paths.<br />

Accompanying the amplitude scintillations of a plane wave<br />

propagating through tropospheric turbulence are transverse phase<br />

ripple variations. According to the theory of Tatarski (1961) the<br />

mean-square phase variation over a distance transverse to the<br />

propagation path is.:<br />

Da(pa) = K@ Cno2(2n/~)2 LTp@Si3 (6.5-7)<br />

where ~ is wavelength, Lt is the propagation path length through the<br />

region of turbulence, and Cno is the surface structure constant. The<br />

constant K is equal to 2.91 <strong>for</strong> the exponential Czn model (Tatarski-<br />

1961) and equal to 4.57 from Ohio data (Theobold and Hedge-1978).<br />

This expression may be ,used to estima” -<br />

the expected mean-square<br />

6-92<br />

-.

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