1 June 2009 Atmospheric effects on availability of free space optics systems
Author Affiliations +
Abstract
The availability of free space optics (FSO) systems in dependence on weather conditions and on FSO link parameters, such as transmitted optical power, beam divergence, receiver sensitivity or link path distance, is discussed. A number of phenomena in the atmosphere, such as absorption, scattering, and turbulence, can affect beam attenuation, but in the case of wavelengths typical of FSO systems operation, only scattering and turbulence are appropriate to be taken into consideration. We model the power loss caused by turbulence by using the Rytov scintillation theory. Attenuation due to scattering, which can be expressed as a function of the link distance, wavelength, and meteorological visibility, is calculated from visibility data collected at several airports in Europe. Statistical evaluation of the attenuation caused by scattering and the power link margin calculated from FSO link parameters are used for calculating the link availability.
Prokes: Atmospheric effects on availability of free space optics systems

1.

Introduction

The free space optics (FSO) communication is a recent and growing technology that has found application in many areas of the short- and long-haul communications space (from intersatellite links to interbuilding links). The terrestrial FSO systems combine some advantageous capabilities of fiber optics (high data rates, no mutual interference between the FSO systems, and difficult eavesdropping on transmitted data), and radio frequency equipment (wireless connectivity, fast and easy installation, and relatively low cost).

A disadvantage of FSO is a fluctuation of atmospheric attenuation caused by a number of phenomena in the atmosphere, such as scattering, absorption, and turbulence. Scattering in particular, which is a product of fog, haze, or low clouds, causes large variation in the received optical power and markedly limits the availability of FSO for a given transmission range.

In terrestrial applications, the FSO systems are most frequently used as the last-mile telecommunications link or as the LAN link between buildings. For telecommunication (carrier-class) applications, the link availability is generally considered to be 99.999% while for the LAN applications (enterprise-class) a link availability of over 99% is usually sufficient.1

The availability calculation in the present work is based on the power budget analysis of FSO and on the statistical analysis of atmospheric attenuation. Power loss due to scattering is calculated using visibility data collected during several years at a few airports in Europe, and power loss caused by turbulence is modeled using the Rytov scintillation theory2. The availability is defined as a time in which the atmospheric attenuation is lower than the power margin of FSO [i.e., data are transferred at a given or lower bit error rate (BER)] related usually to one or more years.

A beam with an ideal Gaussian intensity profile corresponding to the theoretical TEM00 mode is the most frequently used model for the real laser-beam description. But most FSO systems use large divergence beams of the order of milliradians to allow easy alignment. In the case of relatively large divergence angles and relatively large link distances, this model can be considerably simplified without any notable loss of accuracy.

Because, due to rounding to hundreds of meters, the collected visibility data are inaccurate and the strength of turbulence is hard to estimate correctly (especially in fog or rain), the eventual inaccuracy caused by simplifying the Gaussian beam model or by using the spherical wave model instead of the exact Gaussian beam model is negligible.

2.

FSO Link Budget

An example of the power level diagram of FSO deployed at a distance of 1km is shown in Fig. 1. The intervals between the two neighboring points on the horizontal axis represent specific parts of FSO causing particular attenuation observable between a laser diode at one side and a photodiode at the other side of FSO.

Fig. 1

An example of the FSO power level diagram.

066001_1_1.jpg

It is obvious that the received optical power can be written in the form

1

P4=P0AtxApropAatmArx[dBm],
where P0 is the mean optical power of a laser diode, Atx includes the coupling loss between the laser and the transmitter lens and the attenuation loss in the lens, Aprop is the beam attenuation due to propagation loss, Aatm includes random losses caused by atmospheric phenomena (scattering and turbulence), and Arx represents the coupling loss between the receiver lens and photodiode and the attenuation and reflection at the lens.

For a successful detection, the power on the active area of the photodiode P4 has to be inside the interval bounded by the receiver sensitivity Prmin and by the receiver saturation Prmax (minimum and maximum received optical power for the given BER). It is obvious that in the example given this requirement is not fulfilled for fog.

3.

Propagation Loss

The Gaussian beam that propagates along the z -axis can be characterized at the transmitter (z=0) by the beam spot radius W0 , at which the optical intensity falls off to 1e2 of the maximum on the beam axis, and by the radius of curvature F0 , which specifies the forming of the beam. The cases F0= , F0> 0 , and F0<0 correspond to collimated, convergent, and divergent beam forms, respectively. These parameters are usually used to describe the beam at a given position z=L by the so-called input-plane beam parameters 2, 3

2

Θ0=1LF0,Λ0=2LkW02,
where symbol Θ0 denotes the curvature parameter, Λ0 is the Fresnel ratio at the input plane, k=2πλ is the wave number, and λ is the wavelength.

An additional parameter useful for beam description is the divergence half-angle, which defines the spreading of the beam when propagating toward infinity. It is given by

3

θ=λπWB,
where

4

WB=W0[(kW022F0)2+1]12
is the spot size radius at the beam waist (i.e., at the minimum beam radius along the path).

The optical intensity in the Gaussian beam at radial distance r from the optical axis is2

5

I(r,L)=I0W02W2(L)exp[2r2W2(L)],
where I0=I(0,0) is the transmitter output intensity at the centerline of the beam, and W(L) is the beam spot radius given by

6

W(L)=W0[Θ02(L)+Λ02(L)]12.

Because the peak optical intensity in the Gaussian beam is twice the average intensity4 and the total power is equal to the average intensity multiplied by the beam spot area, the relation between the intensity of the optical wave and the total power in the beam P0 for the case r=0 is

7

I(0,L)=I0W02W2(L)=2P0πW2(L).

Power P incident on the circular receiver lens of aperture diameter D situated at distance L can be calculated according to Ref. 4 as

8

P(D,L)=P0[1exp(D22W2(L))].

In a real situation, a large divergence angle (θ1mrad) and relatively large beam spot radius (W010mm) cause that kW022F01 , and the divergence calculation using Eqs. 3, 4 reduces to θ=W0F0 . Similarly, because Θ0Λ0 , Eq. 6 can be expressed in simplified form as W(L)=W0+Lθ . On the assumption that the beam radius at the receiver position is much greater than the diameter of the receiver lens (i.e., W(L)D ), the optical intensity at the lens may be regarded as uniformly distributed and the received power can be expressed in the simple form

9

P(D,L)=I(0,L)πD24.

Substituting Eq. 7 into Eq. 9, the propagation loss may be expressed as

10

Aprop(D,L)=10log[P0P(D,L)]=20log[2(W0+Lθ)D][dB].

4.

FSO Power Link Margin

The laser power, beam divergence, receiver sensitivity, coupling losses, and receiver lens area define how the FSO is able to eliminate atmospheric effects. They are summarized in the power link margin M (see Fig. 1). Taking into consideration the fact that the condition W0Lθ is in a real situation usually fulfilled, the power link margin expressed in the simplified form resulting from Eq. 10 is given by

11

M(L)=P0Atx20log(2LθD)ArxPrmin[dB]
or by M(L)=M020logL , where M0 includes all constant values in Eq. 11 given by the FSO design.

By comparing real FSO systems designed for certain transmission ranges and data rates produced by various manufacturers, it can be found that the particular parameters (laser power, beam divergence, receiver sensitivity, etc.) of these systems are in some cases markedly different. Because of this fact, it is not easy to create a detailed FSO model characterizing a specific group of FSO systems. Fortunately, as shown below, to demonstrate the effects of turbulence and scattering on laser-beam propagation the FSO systems may be characterized only by the receiver lens area and by the power link margin M0 or M(L) , respectively. Therefore, three typical FSO representatives, differing in the power link margin and in the diameter of the circular receiver lens, were created for simulation. Their particular parameters, summarized in Table 1, were chosen such that they characterize typical real systems designed for a data rate of 1Gbps and for three different operating ranges (see Section 5). A real FSO system whose particular parameters are measurably different can, for the link availability evaluation, be assigned to the appropriate FSO representative on the basis of calculated M0 or possibly on the basis of calculated or measured M(L) . The power link margins M(L) for FSO representatives, calculated according to approximate relation 11 and according to an exact relation based on Eq. 8, are shown in Fig. 2 (solid and dashed lines).

Fig. 2

Power link margin and specific atmospheric attenuation versus link distance.

066001_1_2.jpg

Table 1

FSO system parameters used in calculations.

FSO AFSO BFSO C
P0 [dBm]101313
Prmin [dBm] 36 39 39
Atx+Arx [dB]466
W0 [mm]202020
F0 [m] 10 10 16
2θ [mrad]442.5
D [mm] 70 140 280
M0 [dB] 70 80 90

It can be deduced that, at very short link distances, the power link margin is not affected by the propagation loss because the beam spot diameter at the receiver position is lower than the diameter of the receiver lens. Thus, the entire power in the beam is received. A growing link distance causes that the Gaussian intensity distribution at the receiver lens increasingly resembles uniform distribution and that the results of exact calculation (based on Gaussian distribution) and approximate calculation (based on uniform distribution) converge.

5.

Attenuation Due to Scattering

Attenuation in atmosphere is inversely proportional to the transmittance, which is described by the Beers–Lambert law5

12

T(L)=I(L)I(0)=exp(αeL),
where I(0) and I(L) are the optical intensities at the source and at a distance L , respectively, and αe is the atmospheric attenuation coefficient. It can be expressed in terms of meteorological visibility V , defined as a distance at which transmittance falls to a certain value ε [i.e., T(V)=ε ]. In 1924, Koschmieder, on the basis of intuitive evaluation of the contrast threshold, proposed the value 0.02 for ε .6 To meet aeronautical requirements, the World Meteorological Organization later adopted the value 0.05 because it ensured the requirement for reliably resolving a black object against the horizon in daylight at a wavelength of 550nm , where the human eye has the highest sensitivity. Assuming that ε=0.05 , the atmospheric attenuation coefficient is

13

αe=ln(0.05)V=3V.

Atmospheric attenuation expressed in the decibel scale is related to transmittance by

14

A10(L,V)=10log10[T(L,V)]=10log10(e)αe(V)L,
and hence, the atmospheric attenuation coefficient in the decibel per unit length is approximately

15

α10=4.343αe.

The predominant phenomenon causing light attenuation in fog is the Mie scattering.7, 8 The atmospheric attenuation coefficient for attenuation due to scattering can be derived from Eqs. 13, 15, taking into consideration the wavelength dependence of αe . For the case of wavelengths in the range from the visible to the near-infrared light and visibility given in kilometers it can be calculated according to the semi-empirical Kruse formula7 modified for ε=0.05 as follows

16

α10,scat(V)=13V(λ×109550)q(V)[dBkm],
where q(V) is the particle size distribution coefficient defined as

17

q(V)={1.6forV> 50km1.3for6<V<50km0.585V13for0<V<6km.}

The attenuation caused by scattering in decibel scale A10,scat is in compliance with Eq. 14 given by the product of the atmospheric attenuation coefficient α10,scat and the link distance (in kilometers).

The latest investigations indicate no wavelength dependence of the atmospheric attenuation coefficient in foggy conditions, where the visibility is <500m . A new method for evaluating the particle size distribution coefficient that respects this fact was proposed by Kim 8

18

q(V)={1.6forV> 50km1.3for6<V<50km0.16V+0.34for1<V<6kmV0.5for0.5<V<1km0forV<0.5km.}

Further studies of attenuation due to scattering were conducted by a number of other authors. Naboulsi proposed relations for attenuation caused by radiation and advection fog for wavelengths from 690to1550nm and for visibilities ranging from 50to1000m .9, 10

Radiation fog generally forms during the night when the temperature of the ground surface drops due to the radiation of the heat accumulated during the day. When the air is cooled by the ground surface below the dew point, the condensation of water vapor and, consequently, the formation of ground fog occur. The attenuation coefficient for radiation fog is

19

α10,scat(V)=4.3430.11478λμ+3.8367V[dBkm],
where λμ is the wavelength in microns.

Advection fog is formed when the warm and wet air moves above colder maritime or terrestrial (e.g., snow covered) surfaces. As in the previous case, the air in contact with the ground surface can be cooled below the dew point, which causes the condensation of water vapor. The attenuation coefficient for advection fog is given by

20

α10,scat(V)=4.3430.18126λμ2+0.13709λμ+3.7205V[dBkm].

A graphical interpretation of the above formulas expressing attenuation due to scattering is shown in Fig. 3. The classification of fog, mist, and haze in relation to the visibility corresponds to the classification presented in Ref. 8. All calculations presented below were performed for a wavelength of 850nm . It is evident that the two Naboulsi formulas exhibit higher atmospheric attenuation compared to the Kim relation and, hence, they seem to be derived for ε=0.02 .

Fig. 3

Comparison of the formulas used for calculating the attenuation due to scattering.

066001_1_3.jpg

Other sources of atmospheric attenuation (rain or snow) are discussed, for example, in Refs. 11, 12. According to Ref. 12, the Kim relations 16, 18 can be used with sufficient accuracy for the approximation of attenuation due to wet snow.

Some manufacturers of FSO systems give among technical parameters of their products, the recommended operating ranges defined usually for moderate fog (α1030dBkm) , medium snow, cloud-burst or mist (α1017dBkm) , and for medium to heavy rain, light snow, or haze (α1010dBkm) . It can be seen from the atmospheric attenuations α10L , plotted in Fig. 2 (dashed and dotted lines) that, for example, the recommended range in moderate fog is 520m for FSO A, 750m for FSO B, and 1000m for FSO C. The recommended operating ranges can be used to choose an appropriate FSO representative.

6.

Power Loss in Turbulence

The most important effects of atmospheric turbulence on the laser beam are phase-front distortion, beam broadening, beam wander, and redistribution of intensity within the beam, known as scintillation. In the case of strongly divergent beam, scintillation is the most significant source causing a loss of power.

Evaluating the power losses due to turbulence is a marginal problem in the availability calculation in this paper. Because of the absence of real data, it is very difficult to estimate scintillation strengths in different weather conditions and to determine the effect of scintillation on long-term FSO availability. The aim of this section is only to give relations for a rough estimation of the power loss in turbulent atmosphere. That is why some simplifications have been made: power loss was solved for the weak fluctuation regime, the laser beam characteristics were approximated by the spherical wave, and the power loss conditional on a maximum probability of having a BER below a certain value was used.13

The intensity I of an optical wave propagating through turbulent atmosphere is a random variable. The normalized variance of optical wave intensity, referred to as the scintillation index, is defined by2

21

σI2=I2I21,
where the angular brackets denote an ensemble average. The scintillation index indicates the strength of intensity fluctuations. For weak fluctuations, it is proportional and, for strong fluctuations, it is inversely proportional to the Rytov variance for a plane wave

22

σ12=1.23Cn2k76L116,
where Cn2 is the refractive-index structure parameter.2 This parameter is not easy to measure because it depends on the temperature, wind strength, altitude, humidity, atmospheric pressure, etc. It varies approximately from 1012to1019m23 . Some methods leading to its evaluation are presented in Refs. 14, 15, 16. For a homogenous turbulent field, which can be assumed for near-ground horizontal-path propagation, the refractive-index structure parameter is constant.

Optical scintillations can be reduced by increasing the collection area of the receiver lens; this area causes an integration of various intensities incident on particular parts of the lens. This phenomenon is known as aperture averaging. The aperture averaging factor for a spherical wave is

23

A=σP2σI2=[1+0.333(kD24L)56]75,
where σP2 is the power scintillation index and σI2=0.4σ12 is the Rytov variance for the spherical wave.17 The effect of the aperture averaging factor on the power scintillation index is demonstrated in Fig. 4, where two different refractive-index structure parameters were used for the calculation. The receiver lens diameters can be found in Table 1. It can be observed that the influence of both the lens diameter and the refractive-index structure parameter on the scintillation level is relatively large.

Fig. 4

Power scintillation index at FSO receivers versus link distance.

066001_1_4.jpg

Many theoretical and experimental works (see, for example, Refs. 2, 17, 18) show that under weak fluctuations, the optical power or intensity may be modeled as a lognormally distributed random variable. The probability density function (PDF) of the received optical power is then of the form

24

p(P)=1P2πσ2exp{[ln(PP)+σ22]22σ2},
where σ2=ln(σP2+1) is the variance of the log power.

The bit error rate obtained during the communication through the turbulent-free atmosphere is lower than the bit error rate affected by scintillation (i.e., BER0<BERsc ). This is caused by the power fluctuations, which can result in momentary fades of signal. It is evident that an increase of BERsc can be reduced by a corresponding increase of optical power.

One of a few known ways leading to the definition of losses due to scintillation Lsc is based on the assumption that the probability of the inequality BER0<BERsc is kept at a certain value, i.e.,

25

Pr[BER0<BERsc]=Pr[PLsc<P]=Pub,
where PLsc is the compensated instantaneous power, which is, in general, lower than the average power P within the time intervals whose sum is equal to the upper bound probability Pub multiplied by the transfer time. Because scintillation is a momentary redistribution of intensity without loss of power and the beam broadening due to turbulence is negligible for large divergence angles, the average received power P equals P(D,L) given by Eq. 9.

By rearranging Eq. 25 and assuming that P is log-normally distributed according to Eq. 24, we obtain

26

Pr[PP<1Lsc]=F(1Lsc)=12erfc[ln(1Lsc)+σ222σ2],
where F(.) is the cumulative distribution function (CDF) and erfc(.) is the complementary error function. Hence, the scintillation loss is of the form

27

Lsc=exp[erfcinv(2Pub)2ln(σP2+1)]σP2+1,
where erfcinv(.) is the inverse complementary error function. Because σP is a function of L , we can finally write

28

Aturb(L)=10log[Lsc(L)][dB].

Examples of power loss caused by turbulence differing in the upper bound probability are shown in Fig. 5. The link distance at which the power link margin equals the power loss caused by turbulence can be found in Fig. 6 for all three representatives of FSO. Calculation was performed for the refractive-index structure parameter of 1014m23 . Any FSO system deployed at a link distance longer than the distance given by the corresponding point of intersection will exhibit a probability of BER0<BERsc of > 104 .

Fig. 5

Power loss caused by turbulence plotted for differing upper bound probabilities.

066001_1_5.jpg

Fig. 6

Power link margin and power loss caused by turbulence, calculated for all three FSO representatives.

066001_1_6.jpg

7.

Link Availability

A correct operation of the FSO link will be achieved if the condition

29

M(L)Aatm(L)
is true for the required link distance L . As mentioned above, atmospheric attenuation is generally composed of power loss due to scattering and power loss due to turbulence. For the link availability calculation, the statistical data of both types of power loss collected during the relatively long period (longer than one year) are needed. Although these data are not available, only attenuation due to scattering was calculated from the collected visibility data using Eq. 14 according to

30

Aatm(L,V)=A10,scat(L,V)=α10,scat(V)L[dB].

The visibility data are available from reports of selected airports in Germany, France, and Italy for the years 2002 to 2005. The sampling period of the visibility measurement is 30min , and the visibility resolution is 100m in the range from 100mto5km , and 1km in the range from 5to10km . The visibility was measured as the runway visual range (RVR). The data collected by an RVR measuring device (transmissometers or forward scatter visibility sensors) is an average value, with averaging intervals much longer than the duration of fades caused by turbulence, and therefore, turbulence does not affect the result of measurement. An example of the data collected at the Schoenefeld International Airport in Berlin, whose International Civil Aviation Organization (ICAO) code is EDDB, from January 1, 2002 to December 31, 2005 is shown in Fig. 7. The periodical changing of seasons is noticeable in Fig. 7. PDF and CDF calculated from the same data and CDF approximated by a polynomial of degree 8 using the least-squares method are depicted in Fig. 8. From CDF, it can be seen, for example, that atmospheric visibility in the range measured by the RVR measuring devices (0V<10km) occurs with a probability of 0.2.

Fig. 7

Visibility data collected at the Schoenefeld International Airport in Berlin (EDDB) from January 1, 2002 to December 31, 2005.

066001_1_7.jpg

Fig. 8

PDF, CDF, and approximated CDF calculated from the data collected at the Schoenefeld International Airport in Berlin between the years 2002 and 2005 in dependence on visibility.

066001_1_8.jpg

Substituting Eqs. 16, 30 into Eq. 29 and then solving Eq. 29 for V provided that the link distance is expressed in kilometers, we obtain

31

V13LM(L)(λ×109550)q(V)[km].

The right-hand side of Eq. 31 represents the minimal required visibility for a correct operation of FSO (note that it also depends on V ). Inequality 31 can then be written in the simple form VVmin(L,V) . Solving 31 numerically with the equality sign yields the values Vmin for the given L . Similar inequality can be obtained in the same way for the Naboulsi relation 19

32

V4.3430.11478λμ+3.8367M(L)L[km].

The minimum required visibilities, calculated according to the Kim and the Naboulsi relations for the A, B, and C links deployed at distances from 100mto4km , are depicted in Fig. 9.

Fig. 9

Minimum required visibility for correct operation of FSO in dependence on link distance.

066001_1_9.jpg

Considering the visibility V a random variable, the FSO link availability is defined as

33

LA=Pr[VVmin(L)]=1F[Vmin(L)].

The link availabilities calculated from visibility data collected at the Schoenefeld International Airport in Berlin according to Eqs. 31, 32, 33, where F[V=Vmin(L)] is the CDF shown in Fig. 8, can for all three FSO representatives be seen in Fig. 10. Both the CDF calculated from visibility data and the CDF approximated by a polynomial of relatively high degree can be used for calculations without noticeable difference in results, but the availabilities obtained for short distances are only approximate. This is caused by the relatively rough rounding of the visibility measured.

Fig. 10

Availability of FSO links in dependence on the link distance calculated from data collected at the Schoenefeld International Airport in Berlin.

066001_1_10.jpg

It can be simply found that for a link availability of 99% the Kim relation gives an 1.15 times longer minimum link distance than the Naboulsi relation does.

Examples of the FSO link availabilities calculated for the years 2002 to 2005 according to the Kim formula for selected airports in Germany, France, and Italy are shown in Figs. 11, 12, 13, 14. The airports are identified by their ICAO codes. The names of airports are given only in case there are two airports in one city mentioned in this paper. The FSO B link was chosen for the calculations because it is a typical representative for a relatively large group of real FSO systems.

Fig. 11

Availability of FSO B link calculated from data collected at airports in Germany: Frankfurt (EDDF), Berlin—Tempelhof International Airport (EDDI), Duesseldorf International Airport (EDDL), Stuttgart (EDDS), Hamburg (EDDH), Leipzig/Halle (EDDP), Bremen (EDDW), and Munich (EDDM).

066001_1_11.jpg

Fig. 12

Availability of FSO B link calculated from data collected at airports in France: Perpignan/Rivesaltes (LFMP), Montpellier (LFMT), Paris (LFPO), Basel/Mulhouse (LFSB), Lyon (LFLL), and Strasbourg (LFST).

066001_1_12.jpg

Fig. 13

Availability of FSO B link calculated from data collected at airports in Italy: Naples (LIRN), Rome (LIRF), Pescara (LIBP), Florence (LIRQ), Trieste (LIPQ), and Milan/Bergamo (LIME).

066001_1_13.jpg

Fig. 14

Availability of FSO B link calculated from data collected at airports at the seaside of southern Europe: Ajaccio (LFKJ), Nice/Cote (LFMN), Genoa (LIMJ), Palermo (LICJ), and Bari (LIBD).

066001_1_14.jpg

It is evident that the seaside areas in the south of Europe offer a higher FSO availability compared to the continental areas, due to the rare occurrence of fog. These areas exhibit a specific availability dependence on link distance, for which a relatively long sequence of almost constant values is typical, followed by a steep drop. An excellent FSO availability was obtained for Ajaccio (LFKJ) on Elba Island, Nice/Cote (LFMN), or Genoa (LIMJ). Very good link availability is in Palermo (LICJ) or Bari (LIBD). Similar results could be found, for example, for Marseille/Provence (LFML) or Toulon (LFTH). A relatively low availability was calculated for Strasbourg (LFST) but also for Munich (EDDM) or Milan/Bergamo (LIME). Another result, which was obtained for Hamburg (EDDH), is typical of many other cities, such as Berlin (EDDB), Paris (LFPO), Stuttgart (EDDS), Leipzig/Halle (EDDP), or other cities, not included in this paper, such as Grenoble (LFLS), Chambery (LFLB), Avignon (LFMV), Duesseldorf/Moenchengladbach Airport (EDLN), or Dortmund (EDLW). It can be regarded as the Central European standard. A surprisingly good availability was obtained for Frankfurt (EDDF) and also for Tempelhof International Airport in Berlin (EDDI). The availability dependence obtained for the two airports is practically the same, and therefore, only one waveform was depicted in Fig. 11.

All the FSO link availabilities shown in Figs. 10, 11, 12, 13, 14 were calculated from data collected within four or three years (some records are complete for only three years) and can be considered as long-term or average availabilities. However, the atmospheric conditions change from year to year and differ considerably according to the changing seasons. Examples of the link availabilities calculated for the particular years from the visibility records obtained at the Schoenefeld airport in Berlin (EDDB) and at Nice/Cote airport (LFMN) are shown in Figs. 15 and 16. On the basis of the results obtained, it can be concluded that the continental weather conditions cause evidently larger differences in link availability than the weather conditions in seaside areas in southern Europe.

Fig. 15

Availability of FSO B link calculated for particular years from data collected at Schoenefeld airport in Berlin.

066001_1_15.jpg

Fig. 16

Availability of FSO B link calculated for particular years from data collected at Nice/Cote airport.

066001_1_16.jpg

The fact that the monthly obtained link availability differs in dependence on the year and on the locality of the visibility measurement is shown in Figs. 17 and 18, in which the availability is plotted for the particular months in the years 2003, 2004, and 2005 and for the four different airports. Although the most critical months for link availability evidently differ in particular calculations, the typical months that exhibit great link availability variations include January, March, November, and December.

Fig. 17

Availability of FSO B link deployed at a distance of 1km calculated for particular months and years from data collected at (a) Schoenefeld airport in Berlin and (b) at the airport in Paris.

066001_1_17.jpg

Fig. 18

Availability of FSO B link deployed at a distance of 4km calculated for particular months and years from data collected at (a) Nice/Cote airport and (b) the airport in Genoa.

066001_1_18.jpg

It is obvious that the FSO systems designed for correct operation in foggy conditions need a large power link margin to overcome beam attenuation, which can reach tens of decibels per kilometer. Because the required power link margin can in many cases be ensured only by short link distances and the fade caused by scintillations appears only if the link distance is relatively large, these systems cannot be affected by turbulence. But, for example, the FSO B in the enterprise application, where the required link availability is 99%, can be deployed in Palermo (LICJ) at a distance of 4.2km (see Fig. 14). An admissible distance that avoids noticeable degradation of communication quality due to turbulence is 3.6km (see Fig. 6). It is highly probable that in the case of stronger scintillations (higher Cn2 ) the FSO availability will decrease due to turbulence and the scintillation effect has to be taken into consideration whenever a maximum usable link distance is being solved. Similar situations can arise also in other seaside areas in southern Europe. Note that at a distance of 3.6km and at the refractive-index structure parameter of 1014m23 scintillation in reality reaches, already, the moderate (saturation) regime and the real the scintillation is slightly lower than the scintillation shown in Fig. 4.17

Although the availability calculation was performed only for the FSO B link, the results can be adopted for the other FSO system availability estimation. In order to obtain an identical value of availability for any FSO link, the minimum visibility Vmin(Lx) at link distance Lx calculated for this link has to agree with Vmin(L) calculated for FSO B [see Eqs. 31, 32, 33]. The required link distance L for a given FSO B availability can be found in Figs. 11, 12, 13, 14 and the corresponding link distance Lx for other FSO systems (FSO C, FSO A) can then be then read in Fig. 9, maintaining the minimum required visibility constant. The same procedure can be used for availability estimation of other FSO systems whose minimum required visibility in dependence on the link distance is known. The availability estimation procedure can be verified on the curves plotted in Fig. 10.

8.

Conclusion

The aim of the paper has been to give a summary of calculation of power losses caused by turbulence and scattering, to compare the FSO availability in selected areas in Europe, and to show how this availability can be evaluated.

The FSO availability varies in dependence on power link margin and in dependence on the locality where the FSO is installed. It is possible to establish some rules for availability estimation that are of general validity; for example, good availability can be achieved in warm seaside areas or desert regions but, on the other hand, in large cities with two or more airports the availabilities obtained from these airports can differ considerably [e.g., Schoenefeld International Airport (EDDB) and Tempelhof International Airport (EDDI) in Berlin]. FSO availability at any location can thus be very difficult to reliably determine.

The data collected are suitable for evaluating the enterprise-class FSO appropriateness but not the carrier-class FSO appropriateness because of the low resolution of the visibility measured. However, it is evident that the availability required for the carrier-class systems can be achieved only for very short distances (a few hundred meters). Improved FSO availability can be obtained, for example, with the hybrid FSO/RF communication systems, where the RF link backs up (at lower data rates) the FSO if atmospheric attenuation exceeds the permissible limit.1

As is obvious from the results, the power loss caused by turbulence reduces the link availability only in the case of relatively long link distances. Thus, the FSO designed for a relatively high availability in a typical continental area in Europe cannot be affected by turbulence. As mentioned above, the scintillation effect is reduced significantly by increasing the receiver aperture. A similar improvement can be obtained using a few optical transmitters.19

Acknowledgments

This work has been supported by the Research Programme MSM0021630513, and by the Grant Agency of the Czech Republic Projects No. 102/06/1358, No. 102/07/1295, and No. 102/09/0550.

References

1.  I. I. Kim and E. Korevaar, “Availability of free space optics (FSO) and hybrid FSO/RF systems,” Proc. SPIE0277-786X 4530, 84–95 (2001). 10.1117/12.449800 Google Scholar

2.  L. C. Andrews and R. L. Phillips, Laser Beam Propagation through Random Media, SPIE, Bellingham (1998). Google Scholar

3.  J. Alda, “Laser and Gaussian beam propagation and transformation,” Encyclopedia of Optical Engineering, Marcel Dekker, New York (2003). Google Scholar

4.  B. E. Saleh and M. C. Teich, Fundamentals of Photonics, Wiley, Hoboken, NJ (1991). Google Scholar

5.  C. F. Bohren and D. Huffman, Absorption and Scattering of Light by Small Particles, Wiley, Hoboken, NJ (1983). Google Scholar

6. Guide to Meteorological Instruments and Methods of Observation and Information Dissemination, CIMO-XIV/Doc. 6.3, World Meteorological Organization, Geneva (1996). Google Scholar

7.  P. W. Kruse, L. D. McGlauchlin, and R. B. McQuistan, Elements of Infrared Technology: Generation, Transmission, and Detection, Wiley, Hoboken, NJ (1962). Google Scholar

8.  I. Kim, B. Mcarthur, and E. Korevaar, “Comparison of laser beam propagation at 785 and 1550nm in fog and haze for opt. wireless communications,” Proc. SPIE0277-786X 4214, 26–37 (2001). 10.1117/12.417512 Google Scholar

9.  B. Flecker, M. Gebhart, E. Leitgeb, M. S. Sheikh, and C. Chlestil, “Results of attenuation-measurements for Optical Wireless channels under dense fog conditions regarding different wavelengths,” Proc. SPIE0277-786X 6303, 63030P (2006). 10.1117/12.680456 Google Scholar

10.  M. Naboulsi, H. Sizun, and F. de Fornel, “Fog attenuation prediction for optical and infrared waves,” Opt. Eng.0091-3286, 43(2), 319–329 (2004). 10.1117/1.1637611 Google Scholar

11.  O. Bouchet T. Marquis, M. Chabane, M. Al Naboulsi, and H. Sizun, “FSO and quality of service software prediction,” Proc. SPIE0277-786X 5892, 589204 (2005). 10.1117/12.614912 Google Scholar

12.  Z. Kolka, O. Wilfert, and V. Biolkova, “Reliability of Digital FSO Links in Europe,” Int. J. Electronics, Communications, and Computer Engineering, 1(4), 236–239 (2007). Google Scholar

13.  N. Perlot, “Evaluation of the scintillation loss for optical communication systems with direct detection,” Opt. Eng.0091-3286 46(2), 025003 (2007). 10.1117/1.2436866 Google Scholar

14.  S. Rasouli and M. Tavassoly, “Measurement of the refractive-index structure constant, Cn2, and its profile in the ground level atmosphere by moire technique,” Proc. SPIE0277-786X 6364, 63640G (2006). 10.1117/12.683873 Google Scholar

15.  G. d'Auria, F. S. Marzano, and U. Merlo, “Statistical estimation of mean refractive-index structure constant in clear air,” in Proc. of 7th Int. Conf. Antennas and Propagation, 15–18 April 1991, York, UK, vol. 1, pp. 177–180, IEEE, Piscataway, NJ (1991). Google Scholar

16.  G. R. Ochs, “Measurement of refractive-index structure parameter by incoherent aperture scintillation techniques,” Proc. SPIE0277-786X 1115, 107–115 (1989). Google Scholar

17.  L. C. Andrews, R. L. Phillips, and C. Y. Hopen, Laser Beam Scintillation with Applications, SPIE, Bellingham, WA, (2001). Google Scholar

18.  V. I. Tatarski, The Effect of the Turbulent Atmosphere on Wave Propagation, Keter Press, Jerusalem (1961). Google Scholar

19.  I. I. Kim, M. Mary, and E. J. Korevaar, “Measurement of scintillation for free-space laser communication at 785nm and 1550nm,” Proc. SPIE0277-786X 3850, 49–62 (1999). 10.1117/12.372823 Google Scholar

Biography

066001_1_m1.jpg Ales Prokes received his MSc and PhD from Brno University of Technology, Czech Republic in 1988 and 2000, respectively. He is currently working as associate professor at the Institute of Radio Electronics of Brno University of Technology. His research interest includes nonuniform sampling and signal reconstruction, velocity measurement based on spatial filtering, beam propagation in atmosphere, and free-space optical communications.

© (2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
Ales Prokes, "Atmospheric effects on availability of free space optics systems," Optical Engineering 48(6), 066001 (1 June 2009). https://doi.org/10.1117/1.3155431 . Submission:
JOURNAL ARTICLE
10 PAGES


SHARE
Back to Top