1970 A Survey of Clear-Air Propagation Effects Relevant To Optical Communications
1970 A Survey of Clear-Air Propagation Effects Relevant To Optical Communications
1970 A Survey of Clear-Air Propagation Effects Relevant To Optical Communications
E = electric vector of the optical wave z =astronomical refraction (total bending) of a ray
F = two-dimensional spatial power spectrum (0 = three-dimensional spatial power spectrum
h =height above ground x = log A , the log-amplitude of the optical wave
I = A', intensity (or irradiance) of the optical wave Y =log E
k = 2 x 1 5 wavenumber of the optical wave R = k Wg/2L.
L = path length, or distance to the turbulent layer
Lo = outer scale of turbulence In Section I1 we briefly mention the magnitudes of the
1 = 2 n / ~scale
, sizeof an irregularity various effects and in later sections consider them ingreater
1, =inner scale of turbulence detail. Section I11 describes the atmospheric model we are
N = (n- 1) lo6, refractivity in parts per million using to derive the various optical results, Sections IV, V, VI,
and VI1 discuss both theory and observations of optical.
Manuscript received May 17,1970. Thiswork was supported in part by intensity fluctuations, optical phase fluctuations, and angle-
the Atmospheric Sciences Section, National Science Foundation, under of-arrival effects, respectively.'
Grant GA 1465.
R. S. Lawrence is with the ESSA Research Laboratories, Boulder,
Colo. 80302. After this manuscript had been prepared, we learned of a similar
J. W. Strohbehn is with the Department of Radiophysics, Dartmouth effort, at the time unpublished, by Brookner [95]. Many readers will find
College, Hanover, N. H. 03755. his work also of interest.
1524 PROCEEDINGS OF THE IEEE, OCrOBER 1970
lated to n by N =(n - 1)106.For optical wavelengths, and covariance functions of n(r), realizing all the time that
N z 79 PIT. (1) the useof spectra requires the assumption of statistical
homogeneity (or spatial stationarity) of the atmosphere.
Here P is the atmospheric pressure in millibars and T is the In fact, the atmosphere is notably nonstationary, i.e., the
temperature in Kelvin.N is roughly equal to290 at sea level, statistics of its fluctuations vary from time to time and from
varying with wavelength by about 10 percent over the visible place to place. A method of analysis involving structure
band and with humidity by about 1 percent. The details of functions and theassumption of only locally homogeneous
these variations have been reviewed by Owens [3 J. in Sec- statistics has been devised and is partially successfulin
tion VIwe discuss the application of these relationships meeting this problem. Tatarski [8], [9] deals with this a p
and of the model atmosphere to the calculation of the sys- proach at length, and a summary of the pertinent formulas
tematic bending of an optical beam. isgivenby Strohbehn [lo]. Assuming stationarityand
The actual atmosphere is usually less smooth than the isotropy, we then define the autocovariance function B,(r)
ideal model of the U. S . Standard Atmosphere. Particularly of the refractiveindex and its Fourier transform, the
characteristic are layers having great horizontal extent and spectrum @,(K), as
and a vertical temperature gradient that changes abruptly.
BAT) = (n1(rl)n1(r1 + T ) )
Their structure is usually measured with standard balloon-
borne radiosonde equipment having time constants that
limit the spatial resolution to about15 meters. Thus we have
only meager knowledge of howsharply defined such layers
may be. We do know, however, that “looming” can occa- and
sionally occur, a phenomenon in which a light ray is re-
fracted with a curvature equal to orgreater than thecurva-
ture of the Garth. We shall see in Section VI that a positive
vertical temperature gradient of 134 K/km is required to where IC=2x11 is a spatial wavenumber and 1 is the cor-
produce such ducting. Thayer [4], while interpreting UFO responding scale size.
sightings, displayed a number of radiosonde profiles which, Refractive-index fluctuations are caused almost exclu-
when corrected for sensor lag, illustrate such sharp layers sively by fluctuations in temperature, since pressure varia-
1 or 2 km above ground. He infers that even sharper gra- tions are relatively small and are rapidly dispersed. The
dients must sometimes exist but points out the difficulty of small-scalesizes andshort lifetime of the temperature
making the necessary measurements. Lane [5], using a fluctuations ensure that they are adiabatic, so that
high-speed thermometer mounted on an airplane, mea-
sured an elevated layer at 2.6 km with a total temperature 6P -
_ v -,6T
--
change of 4 K and a vertical temperature gradient that he P V-1 T
estimates to be about 1000 K/km. Richter [ 6 ] has observed
radar scattering layers less than 1 meter thick. where the ratio of speciiic heats v = c p / c v x 1.4 for air.
From such hints emerges the picture of thin sharp gradi- Differentiating (1) and eliminating 6P, wesee that the
ents of refractive index, often well above ground, extending refractive-index fluctuations are proportional to the tem-
horizontally for many kilometers and persisting for hours perature fluctuations :
at atime. Visual observation from aircraft passing through
-79 P
the boundary of a haze layer occasionally discloses a more 6 N = --6T.
or less regular undulation of the layer. Ludlam [7] sug- V - 1 T2
gested that the breaking of such waves produces much of
the turbulence that occurs a kilometer or more above The temperature fluctuations originate from large-scale
ground. phenomena, such as heating of the earth’s surface, but are
broken and mixed by the wind until they exist at all scales.
Small-Scale Variations Since wind velocity fluctuations control the temperature
variations, we shall fist briefly describe the statistics of the
Turbulence is almost always superposed on the large- random velocityfield. More detailed descriptions are
scale variations of the atmosphere and produces random available in many places [ll], [12] ;the two books by Tatar-
fluctuations in the density and therefore in the refractive ski [8], [9] cover aspects particularly relevant to propaga-
index. If weare willing to neglect the minor optical Doppler tion.
shifts produced by the irregular turbulent velocities, we The kinetic‘energyof turbulence is usually introduced by
need consider only the spatial structure of the turbulence such large-scale phenomena as wind shear or convection
and may write the random variation of the refractive index from solar heating of the ground.Therefore, it isreasonable
as to assume that the turbulent energy is introduced through
the action of scale sizes hrger than some minimum value
44 = no + n16-1; no = (n(r)>,
Lo, called the outer scale of turbulence, which corresponds
where the sharp brackets denote an ensemble average. to a wavenumber K~ =27c/L0.For wavenumberssmaller
For brevity and clarity, we define and work with spectra than K~ the form of the energy spectrum cannot be specified
1526 PROCEEDINGS OF THE IEEE,
OCTOBER 1970
in general, since it depends on surface geography and local models for the atmosphere under many conditions. They do
meteorological conditions. Verylikely, the turbulence is not represent the actual atmosphere at alltimes or all
neither homogeneous nor isotropic in this range. Near the places but it seems impossible to comment usefully on their
ground, the value of the outer scale is thought to be com- range of validity. Bolgiano [18] predicted that the buoy-
parable with the height above ground. In the upper atmo- ancy effects that sometimes become important atlow wave-
sphere Lo is often 100 meters or more, but in the presence of numbers should produce a steeper spectrum. Lawrence,
stratified layers, perhaps as thin as a few meters, Lo can Ochs, and Clifford [19] observed flatter spectra near the
not greatly exceed the layer thickness. ground, presumably caused by the direct introduction of
As the spatial wavenumber increases above IC, and the turbulent energy at scale sizes smaller than Lo.
scale size becomessmaller than the distance to the ground In contrast to theforegoing, a Gaussian spectrum and its
or to the nearest inversion layer, the turbulence tends to corresponding Gaussian autocovariance function are fre-
become isotropic and homogeneous. Under these condi- quently used for mathematical convenience. A serious
tions, both theory and experiment indicate a K - 11/3 de- problem is associated with the use of the Gaussian model
pendence for the spectrum. The theory of this dependence, for optical propagation ; we believe its use should be dis-
originally proposed by Kolmogorov [13] in 1941, is based couraged. The Gaussian model contains only a single scale
on a number of assumptions: the energy is input at small size, although at least two independent scales are important
wavenumbers and dissipated at much larger wavenumbers, for optical effects. We shall see that the small-scale fluctua-
the Reynolds number must be much greater than unity, and tions are primarily responsible for intensity scintillation
the scale sizesare small enough so that buoyancy effects are effects, andthe large-scale fluctuations produce optical
negligible. In this wavenumber range, the inertial subrange, phase effects. A Gaussian model having too few adjustable
the Reynolds number is so high for the large eddies that parameters ties thesetogether in an arbitrary andunrealistic
they are unstable and break apart. Thusthey transfer energy way and engenders misleading and erroneous. predictions.
to smaller scales (higherwavenumbers) down to the “inner So far we have discussed the form of the refractive-index
scale of turbulence” I,, a scale of only a few millimeters, spectrum of the turbulent atmosphere but have made only
where the Reynolds number approaches unity andthe the most general references to the actual values of the pa-
energy is dissipated into heat. The spectrum in the viscous rameters. The adjustable parameters of the model are as
dissipation region for whichIC > K, = 5.92/1, is considerably follows: 1) C;, the refractive-index structure parameter
steeper than in the inertial subrange, but its form is un- (sometimes optimistically called the structure “constant”)
certain. which is a measure of the intensity of the refractive-index
Temperature fluctuations which, as we haveseen, are fluctuations ; 2) I,, the inner scale of turbulence, below
directly pertinent to optical propagation were considered which viscousdissipation steepens the spectrum ;3) Lo, the
by Obukhov [14], Corrsin [15], and Pond et al. [16]. They outer scale of turbulence, above which the energy is pre-
found thatthe temperature fluctuations obey the same sumed to be introduced into the turbulence. Between 1,
spectral law as the velocity fluctuations. It should be and Lo lies the “inertial subrange” where the Kolmogorov
remembered that while the forms of the spectra are identi- model predicts a spectral slope of - 11/3. The slope may
cal, their magnitudes are not necessarily related. Strong be considered to be a fourth parameter if we wish to consider
mechanical turbulence tends to produce a well-mixed cases near the ground where the energy is introduced in a
atmosphere with an adiabatic lapse rate so that the tem- wide variety of scale sizes.Alternatively, and perhaps more
perature fluctuations become very weak[17]. Conversely, a properly, such a case may be described as one where the
stable atmosphere with little windmaypossess strong outer scale Lo has decreased to nearly equal the inner scale
thermal gradients. Henceforth, weuse the word “turbu- I,, thereby destroying the inertial subrange. Let us consider
lence” to refer only to the temperature fluctuations, not to these parameters in turn.
the velocity as in the usual fluiddynamic sense. The refractive-index structure parameter C,’ is measured
Assuming that the form of the temperature spectrum, in units of Its value varies from io-” or less
and hence the refractive-index spectrum, is the same as that when the turbulence isextremely weak, toor more
of the velocity spectrum, Tatarski [9] used the following when the turbulence, generated near the ground in direct
form for the refractive-index spectrum : sunlight, is strong. InsufEcient measurements exist to per-
mit us to predict with confidence the mean value and vari-
@“(IC)= 0.033 C,’IC-’~’~ exp ( - K ’ / K ; ) , (3)
ance of C,2 under specified meteorological and geographical
with the following three conditions. 1) ~,1,=5.92. 2) The conditions. Except for occasional individual measurements
equation is a poor approximation for K 6 K,, i.e., for large near the ground, estimates are based largely upon optical
scales. 3) The equation is a reasonable approximation for observations and, as we shall see, substantial uncertainty
IC 2 IC,,,,i.e., for small scales. The refractive-index structure exists in the deduction of C,’ from such observations. A
parameter Cl is a measure of the -@tensityof the refractive- commonly used representation (Fig. 1) is the modelof
index fluctuations. Tatarski’s spectrum has a singularity at. C.”suggested by Hufnagel [20]. T h ~ model s is derived from
IC =0, so it does not possess an autocovariance function, but stellar scintillation measurements and from the few avail-
this difficulty can be avoided [lo]. able direct temperature-fluctuation measurements, usually
The preceding spectra are reasonable approximations or within 30 meters of the ground.Although Hufnagel’s model
LAWRENCE
EFFECTS
AND PROPAGATION
STROHBEHN: CLEAR-AIR 1527
and a paper by Strohbehn [ 2 8 ] discuss the limitations in called the log-amplitude and the imaginary part is the phase.
the theory of the earlier works. A different but extremely With this substitution, the wave equation becomes
interesting approach has been introduced by Lee and Harp
[29]based on phase screens. Their method leads to the same V2Y(r) + VY(r). V Y ( r ) + k2n2(r)= 0. (6)
results but is more physical in its formulation. The problem is to solve (6) for the fluctuations in log-
We assume in the derivations that we are concerned with amplitude and phase.Since aperturbationapproach is
an atmosphere having no free charges, that the magnetic used, the results are valid onlyif the perturbations are
small.
permeability is constant, and that the time dependence of The primary quantities that have been studied are the
the electricalfield is given by (-expiot).With these assump variances and the spatial covariance functions in a plane
tions the vector wave equation becomes perpendicular to the direction of propagation. The major
emphasis has been on phase and log-amplitude fluctuations,
+
V Z E k2n2E + 2V(E V log n) = 0,
1 (4) with some attention to angle-of-arrival, intensity, and co-
herence functions. For mathematical simplicity most of the
where k=2a/;1 and iis the wavelength of the electromag- work has dealt with plane-wavepropagation ; only recently
netic wave. The last term, which contains the interaction have the spherical-wave and beam-wave cases beenstudied
between orthogonal components of the field, produces in much detail.
depolarization effects. Strohbehn and Clifford [30] calcu- When a plane wave propagates through a statistically
lated the average power in the depolarized component and homogeneous random medium, there are certain symmetry
showed that it is typically160 dB weaker than the power in properties that aremathematically convenient. In any plane
the incident wave [ l o ] .Saleh [31] was unsuccessful in his perpendicular to the direction of propagation the statistics
attempts to measure the depolarized signal witha sensitivity at any one point in the plane are the same as at any other.
of 45 dB. Therefore, the spatial covariance function depends only on
A practical possibility associated with the small depohri- the separation of the two points and noton their location in
zation of an optical signal when propagating through the the plane. In this case, for an isotropic medium, the spatial
“turbulent” atmosphere might be to use polarization mod- covariance function may be written as a two-dimensional
ulation in optical communications systems. The amount Fourier expansion, where
of “polarization” noise introduced by the atmosphere is
almost negligible, whilethere is very significant“amplitude
modulation” and “phase modulation” noise. However, we
are in no position to comment on other problem areas, such
as the amount of depolarization caused by particle scatter-
ing or the technical problems in polarization modulation.
In any event, the lack of depolarization is a great theoreti-
cal advantage in that the vector wave equation (4)may be
reduced to ascalar wave equation
Here F A X ) is the two-dimensional spectral density of the
V Z E+ k2nZE= 0. (5)
fluctuations in f, where f might represent the log-amplitude
For simplicity innotation, we assume that the wave isplane or phase. For spherical-waveor beam-wave propagation, the
polarized in the z direction, i.e., E = E,, and is propagating in expansion (7) is no longer valid sincethe symmetry has been
the x direction. We define E = A exp (is),where A is the destroyed. However, under the approximations thatare
amplitude of the wave and S is the phase. Note that since usually made, expressionssimilar to (7) are often used. In a
the exp ( - iot) term has been eliminated, the amplitude and number of works the quantity derived is the two-dimen-
phase refer to quantities that would not change with time in sional spectral density function of the desired quantity, for
a frozen medium. Further simplification would lead to a example, log-amplitude fluctuations. Equation (7) is then
geometrical-opticsapproach thatignores diffraction effects. used to find the covariance function or the variance
While thatapproach gives reasonable results for phase 0; = B/(O).
fluctuations, its results for amplitude fluctuations are valid The derivation of the spectral density functions of ampli-
only for L << l;/)., where Io is the inner scale of turbulence tude and phase from (6) is extremely involved and includes a
and L is the length of the propagation path. For typical number of approximations. The clearest derivations appear
parameters, this leads to restrictions of from 10 to 100 in the works of Tatarski [ 8 ] , [ 9 ]and are not repeated here.
meters for the path length. For this reason we consider only In all the derivations a number of approximations are made.
the full-wave solution, whichincludes diffraction effects. First, itisusually assumed that i<<lo and i3L/l:<< 1 ,
The geometrical-optics results may be found as a limiting where Io is the inner scale of turbulence. These are not im-
case. portant restrictions at optical wavelengths.
Most of the literature since 1960 has followed the Russian The only assumption that is definitely violated in some
approach of using the so-called Rytov method, which sub- cases isthe basic one that permits a perturbationexpansion
stitutes E = exp (‘Y) into the scalar wave equation (5). If we to be applied to the wave equation. As has been shown [32],
write Y = x + is,where x =log A, then the real part of Y is [9], [33], there are cases of practical interest where the
LAWRENCE AND STROHBEHN: CLEAR-AIR PROPAGATION EFFECTS 1529
TABLE I
VARIANCE
OF LOG-INTENSITY
Case Random
General Medium Locally
Random
Isotropic Medium*
Kc)
,
rr. rm r
where
where
1 - a,L + {(K: + a:)L - a,jq a,@ - 7)
Y1 =
(1 - Or2L)’ i- (KlL)’
Pt =
(1 - a,L)’ + (a,L), ,F,(a, c ; z ) = @(a, c; z) is the Kummer function
a1 = A/(xW:) at = l/Ro
[1 + (a1L)2x](l -x)
a = a, + ia, p = (y2 + z2)’I2 = distance from beam center
g(a,L) = jol Re[(l - x)’ -i
KlL 1 5’6
dx
Y 4~ I I I I
ov I 1
0 2 3
' (aILilm PFiEDlCTED UXi-INTENSITYMRIANCE
Fig. 4. Variance of log-intensity as a function of (alL)"", where Fig. 5. Theory and observation of saturation of scintillations compared
a1= A/(x@,) .and W, is the beam radius [39]. The vertical scale was withvaluespredictedfromtemperature fluctuations using (T4) or
added after privatecorrespondence. (T10).The lower dashed curve is the theoretical result from Tatarski[9]
[ut, from (Il)]; the upper dashed curve is the theoretical result from
deWolf [35] [o$ from (lo)]. Solid curvesareaveraged observations
tion of alL)11/6.For a given aperture size, i.e., a constant replotted fromGracheva,Gurvich,and Kallistratova [W]. Curve 1,
value of a, =A/(nW;), the curve shows how the variance spherical wave; curve 2, plane wave (5O-cmdiam collimator);curve 3,
should increase with path length. Again, we urge a note of white light. The shaded area includes all theobservations by Ochs [94]
over a 1Wmeter path. If Ochs' measurements are restricted to times
caution in using these curves. When C,Z is reasonably high, of moderate wind(2 to 6 m/s), the mean of his observations agrees well
it seems that the phase fluctuations would be large enough with curve 1.
to seriously affect the beam parameters.
As indicated previously, the equationsfor the variance of
geometrical-optics approachthat also led tosaturation
the log-intensity fluctuations are valid only when o& I <<4,
despite the .neglect of diffraction effects. In this case his
Attempts at verifying experimentally (T4) or (T10) have
final equation was
shown that for small values of ofn,there is good agreement
between theory and experiment. However,when o;n, is
greater than about 2.5, as predicted by the preceding equa-
tions, the experimental value of o& I appears to saturate and
o.fn,= 4[ 1 - (1 + 3 0 9 - 7
TABLE I1
COVARIANCE
OF LOG-AMPLITUDE
1 - 2.36rG)516 + 1.71 1
b,@) = + ... lo << p << ( Z ) 1 ' 2
pendicular component of the velocity is considered to have he then defines a relative spectrum
a normal distribution with variance 0 2 . He calculates an
average spectrum, again assuming the same form for
@“(K), as
and shows that, in general, if f >> uJ(xD), i.e., for high fre-
quencies, the effect of the aperture is to average a number of
[[ $
1- sin $]e-.. & , ( X ~ ) X ~ /dx,
~ inhomogeneities and hence to reduce substantially the
spectrum compared with that of a point aperture. For
l;/A <<L, (32) f << uJ(xD), if the important spatial wavenumber K << 210,
the spectrum is approximately equal to that for a point
where aperture, but if the important spatial wavenumber K >>210,
the spectrum will also decrease substantially.
For weak fluctuations, where (19) holds, and assuming
- Tatarski finds for the plane-wave
@ n ( ~ ) = 0 . 0 3 3 C , 2 ~1/3,
0 1 = .f(L/k)’/2/a = f l f l , case
K,,(x) = a modifiedBessel function.
If R>> 1, then
(w,(f )) = 0.32 -
(x2> l;/A <<L. (33)
fl
tribution, the phase referred to a zero-to-2~band has a the frequency spectrum d e h e d in terms of covariance
distribution that is practically uniform. functions, provided the covariance function exists. The
spectral representation is
Spatial Structure Function of Phase
Table I11 shows equations for the phase structure function
for the same cases as before, i.e., plane wave, spherical wave,
Hs(7) = 2 j;
[l - cos(2nf7)]wS(f)df.(42)
and beam wave.Again we give no derivations, only ref-
erences.Exceptfor the numerical coefficients, the phase Using this approach, Tatarski[9] found for the general case
structure functions for plane waves and spherical waves are
similar. It seems reasonable to expect that the beam-wave
case will lie somewhere betweenthe two but, to our knowl-
edge, no such case has been worked out. Specific cases fora where
spherical wave propagating vertically through the atmo-
sphere have been published for the wave structure function
[80],[81]. The wave structure function is related to the
phase and log-amplitude structure functions by the relation
, ~ (K-IC'/IC;),
Assuming ~ ' , ( K ) = O . O ~ ~ Cexp - ~ ~ ~ ~hefinds
D(P) = DdP) + D,(P) (40)
0- 813
where wS(f ) = 211 . 0.033C,Zk7/6L1'16
-
fo
D,(P) = 2[B,(O) - B,(p)l.
Since the phase structure function is usually larger than the
I1.69 + Im RZ
log-amplitude structure function, the wave structure func-
tion is dominated by the phase term. Therefore, the results
for specific case for the wave structure function give some
insight into the behavior of the phase structure function.
The difficulties involvedin optical interferometry through
the open atmosphere have tended to discourage direct mea-
surements of the phase structure function. Bertolotti et al. ~ . one can see by
where R = f/fo and fo = v , / ( 2 ~ 1 L ) ' /As
[82] and Moldon [83] observed phase differences over4-km comparing (44)with (29X the expression for the frequency
urban paths 25 meters or more above the ground and con- spectrum for the phase fluctuations is the same as for log-
cluded that the phase structure function could not be con- amplitude fluctuations except for a minus sign. For R<< 1
strued to increase as p5l3 for any p >3 cm. Measurements of and R >> 1, (44)becomes
the modulation transfer function (a function of the wave 3.28. 10-2C,Zk2L~:13f-8/3. a<<1, (45)
\\,s(,f') =
structure function)by Djurle and Back [84]and by Coulman
[85] also failed to verify the p5I3 dependence,but the effect of ws(f) = 1 . 6 4 - 10-2C,2k2L~:/3f-8/3, R>> 1. (46)
scintillations confuses the interpretation of these measure- Note thatfor R>> 1, the spectra ws(f) and w,(f) agree. For
ments in terms of phase structure function. the two regionsR e< 1 and R >> 1, the values of w d f )differ
By contrast, Bouricius and Clifford [86] observed phase only by a factor of 2. However, inthe low-frequency region,
structure function over a folded50-meter path only 1.6 the form for @,(IC) is not known in general; therefore, (45)
meters above ground and verified an increasing power-law must be applied cautiously at frequencies less than u,/Lo,
dependence on p, though the exponent may be lessthan 5/3. where Lo is the outer scale of turbulence.
Temporal Power Spectrum of Phase For many applications the quantity of interest is not the
The procedure for finding the frequency spectrum of the frequency spectrum of the phase fluctuations but the spec-
phase fluctuations is similar to that forfinding the log- trum of the fluctuations of the phase difference measured at
intensity frequency spectrum, except that the formulas two points separated by a distance p. If we define the phase
involve the structure function instead of the covariance difference as
function. Again, the simplest approach is to use Taylor's s,s(t) = S1(r,t ) - S,(r + P, 0 , (47)
hypothesis, so that
Tatarski [9] shows that the covariance function of the phase
S,(r, t + 7) = S,(r - u17, t). (41)
difference is
Defining a time structure function Hs(7), we get
RdS(7) = (s,s(t)s,s(t + 7))
Hd7) ([S,(r, t + z) - &(r, t)]') = &(u17). = ${D& - ~ 1 7+
) D& + 117) - 2Ds(~l7)},(48)
The structure function may be written as a spectral r e p using once more the frozen-turbulence hypothesis. If p and
resentation, where the frequency spectrum ws(f) is equal to uI are parallel, then Tatarski calculates
LAWRENCE AND STROHBEHN: CLEAR-AIRPROPAGATION EFFECTS
TABLE 111
STRUCTURE
FUNCTIONOF PHASE
X @ko’(K)COS2 ‘’1
[“‘(tk-
~ (T34)
Spherical wave,
homogeneous medium
D,(p) = 8n2k2/: dKd.(K)joLdq[ 1 - J0(7)] D,@) = 1.089k2Cfp5’3L- 2[BAO) - EJp)] V42N
* @,(~)=0.033 C~(X)K-”’~
exp ( - K ’ / K ~ ) except as noted. For homogeneous medium, Cf(x)= constant.
@,(~)=0.033C:K- ‘‘I3. Also, B,(p) given by (T26) and (T28).
1Symbols defined in Tables I and 11. Same comments as (Tl5) and(T30).
1542 PROCEEDINGS OF THE IEEE,OCTOBER 1970
/~ - f
~ & f ) = 0 . 0 6 6 C , 2 k ~ L u :sin2 -8/3,p<<(IL)'I2. (51) where it has been assumed that a is small so that sin a w a.
Thus, the variance of the angle of arrival may be obtained
from the appropriate expressions for the phase structure
- In the low-frequencyregionfor f <<u,jp, w6S(f) function given in Table 111.
f 'wS(f ) , and i f p does not exceed Lo,then waS(f)- f -2/3. Tatarski [9] derives the angle-of-arrival variance for a
Although there is a singularity at f =0, Tatarski shows that telescope of diameter b, and the result differs from (53)'by
it does not contribute much energy to the spectrum of the only 3 percent. For spherical-wave propagation, Gurvich
fluctuations. Another point tonote is that (49) predicts et al. [49] give
zeros or nulls in the phasedifference spectrum. These nulls
result from assuming a constant wind speed, and fluctua- 0,' = 1.05C,Zb-'/3L, (AL)'/'<<B. (54)
tions in wind speed smear them out. If f >gu2crDp), then In (53) and (54), a corresponds to one component of the
the sin2 factor can be replaced by i,so that angle-of-arrivalfluctuations ;(54) is valid onlyas long as the
1 ..2 expressions used forDdp) are valid.
Gurvich and Kallistratova [87] measured the variance of
angle-of-arrival fluctuations under conditions where the
Note that all the specific cases for the above spectra are intensity fluctuations were saturatedandnot saturated.
calculated assuming plane-wave propagation. Though we Using a telescope witha constant aperture size, they verified
do not know of any calculations forspherical-wave or that (54) was correct over paths 125 and 500 meters long.
beam-wave cases, the approach is straightforward, but the The maximum values of cawere 15and 25 p a d , respectively.
mathematics may become cumbersome. Over a 1750-meterpath the predictions were still quite good,
The only measurements of the spectrum of fluctuations but the measured values were somewhat lower than pre-
of phase are those made incidentally to the structure func- dicted. Similar measurements by Gurvich et al. [49] gave
oa - 5 to 20 prad for a 650-meter path and 15 to 45 prad
tion measurements of Bouricius and Clifford [86] who, for
'
wind velocities of about 1 m s- and L= 50 meters, ob-
for a 6500-meter path during daytime. These measurements
indicate that the theoretical expressions for the phase
served nocontribution from frequencies above 15 H z .
structure function appear to be valid even when the ex-
Phasedifference spectra have not yetbeen measured di-
pressions for intensity are not. More comparisons of this
rectly butare intimately related to the angle-of-arrival
type are needed. Gurvich etal. also measured of,J~,',s,
spectra described in Section VII.
(the ratio of the plane-wave to spherical-wave variance) and
found a ratio of 2.42 compared with a theoretical value of
VII. ANGLE-OF-ARRIVAL FLUCTUATIONS
2.75.
Introduction Kerr [88] has tabulated theoretical valuesfor various
In considering angle-of-arrival fluctuations, we must dis- cases.
tinguish carefully among the different definitions of angle
of arrival, remembering that the angle of arrival is closely The Covariance Function and Spectrum of Angle-of-Arriual
tied to the equipment involved. Attempting to remove Fluctuations
equipment considerations, Strohbehnand Clifford[30] Strohbehn and Clifford[30] calculated the angle-of-
used the direction of the wave normal at the receiving point. arrival covariance function assuming thatthe angle of
With this definition, the angle of arrival is proportional to arrival corresponds to the normal to the wavefront. Their
the spatial derivative of the phase fluctuations. However, if results are of questionable practical value since most mea-
one is using an interferometer, then the angle of arrival is surement techniques do considerable averaging over the
the phase difference measured at two points separated by phase front.
some distance, call it b. Obviously, the parameter b affects The temporal power spectrum of angle-of-arrivalfluctua-
the measurements. If a telescope isused, the angle of arrival tions may be estimated by using some of the previous results.
is closely related to the average tilt of the wave across the We have mentioned that the variance of angle-of-arrival
aperture of the telescope. In this case spatial variations in fluctuations of an interferometer is almost identical to that
phase tend to average out if they are smaller than the of a telescope. Assuming that the same similarity holds for
diameter D of the apertur?. the spectrum, we must only findthe frequency spectrum for
STROHBEHN:
LAWRENCE AND CLEAR-AIR PROPAGATION EFFECTS 1543
beamwidth permitted by the turbulent atmosphere. Thus of velocity and temperature fluctuations in the atmospheric bound-
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frequency transhorizon propagation based on meteorological con-
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