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    Effect of Signal Wavelength and Aperture Area of

    Detector on Performance of Free Space Optical

    Link

    Anil J. KshatriyaDepartment of Electronics and Communication

    Government Engineering College

    Chandkheda,Gujarat,India

    Email:[email protected]

    Pravin R. Prajapati

    Department of Electronics and Communication

    A.D.Patel Institute of Technology

    New V.V. Nagar,Gujarat,India

    Email:[email protected]

    AbstractBit error rate performance of a FSO link and visi-bility range are adversely affected by, harsh weather conditions,and atmospheric turbulence like fog, rain, clouds and dry snow.Wavelength of signal and aperture area of optical detector affectsquality factor of receiver. This paper presents performance ofFSO link with different wavelengths and different aperture areaof optical detector. Effects of different wavelengths on visibilityrange and quality factor of optical receiver have been simulated.For simulation, license versions of OPTSIM 5.2 and MATLAB6.00 have been used.

    Index TermsFSO, PRBS, BER, aperture area

    I. INTRODUCTION

    Free space optical communication has very large informa-

    tion handling capacity. Free space optical (FSO) is a promising

    technology capable of full duplex transmission of data, voice

    and video in certain applications [1]. The link can be installed

    within a day. Compared to fiber communication, FSO does not

    require digging to lay the fiber and it does not require permis-

    sion from the landowners. W. Popoola et al and Muhammad

    Saleem Awan et al [2], [3] reported performance of FSO in

    different weather conditions like thick fog, moderate fog, light

    fog, heavy rain, moderate rain and light rain etc. Fang Xu et

    al reported efficiency of different channel coding techniques

    for different time diversity orders and turbulence conditions[4]. Performance of FSO link using MIMO transmitter and

    receiver investigated by Zeinab Hajjarian et al [5]. W. O.

    Popoola et al presented error performance of FSO using a

    subcarrier intensity modulation based on a binary phase shift

    keying scheme in turbulent atmosphere [6]. A large effective

    aperture can be achieved by combining the output signals from

    an array of smaller receivers.Chen [7] reported the non coher-

    ently combined heterodyne receiver combined system, which

    can offer superior performance for given a fixed collecting

    area.M.A. Khalighi et al [8] investigated the impact of aperture

    averaging on the performance of FSO systems under different

    atmospheric turbulence regimes and performance evaluation

    is made in terms of the average BER. Nazmi A. Mohammed

    et al [9] reported that the BER performance of FSO can be

    improved by using forward error correcting codes. Ivan B.

    Djordjevic et al [10] reported that the LDPC coded MIMO

    schemes can operate under a strong atmospheric turbulence

    and at the same time provide excellent coding gains compared

    with the transmission of uncoded data. Sachin M. Kale et al

    [11] reported that for a 2 km FSO link, relative improvements

    in SNR and BER due to combined effect of partially coherent

    optical beam and the aperture averaging of the received optical

    beams in different atmospheric turbulence conditions. AhmedA. Farid et al[12] derived a statistical model for the optical

    intensity fluctuation at the receiver due to the combined effects

    of atmospheric turbulence and pointing errors. Colin Reinhardt

    et al [13] described an improved method for estimation of the

    atmospheric channel impulse response function, for adverse

    visibility conditions of fog to improve the performance of

    terrestrial FSO system. Thomas Plank et al [14] reported some

    major performance improvement obtained by employing some

    specific modulation and coding schemes

    II. SIMULATION

    The block diagram for the simulations link of free spacecommunication is shown in Fig. 1. Transmitter section consists

    of the data source of pseudo-random binary sequence (PRBS),

    electrical driver, LED source and optical normalizer. The data

    source is a non return to zero (NRZ) format at 1.25 Gb/s

    bit rate and is indicated by PRBS generator, as shown in

    Fig. 1. This model generates a binary sequence of several

    different types like alternating one and zero sequence, PRBS,

    only sequence of one and only sequence of zero. NRZ driver

    converts an input binary signal into an output electrical signal.

    The output signal may be specified as either voltage or current.

    Here NRZ modulation is considered. The input data source

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    modulates at the LED beam by using an LED driver.LED

    source generates the LED beam at 1550 nm. The output of the

    modulator is fed to an optical normalize which normalizes the

    optical signal power by attenuating the input optical signal(s)

    to the specified average output power level. Free space optical

    length of 500 meter is considered. For attenuation constant,

    different conditions of atmosphere like thick fog, moderate

    fog, light fog, heavy rain, medium rain and clear conditions

    have been considered The OptSim photo receiver model is

    composed of several individual building blocks: the photo

    detector, the preamplifier, and the post amplifier/filter complex.

    Here PIN photo detector with quantum efficiency of 80%, dark

    current of 10 A and ionization coefficient of 1 considered.BJT based preamplifier with noise like shot noise and thermal

    noise etc considered. Bessel filter with 4th order and 1 GHz

    bandwidth has been considered.

    III. RESULTS AND DISCUSSION

    The free space optical link is simulated to find the visibility

    range for different wavelengths at given attenuation.Rayleigh

    scattering and other scattering losses are inversely proportionalto wavelength and visibility () = 3.91

    V

    550

    q

    , where V is

    visibility in km and q is the size distribution of the scattering

    particles [2],[6].According to the Kim model, q is taken as

    1.6 for V > 50 , 1.3 for 6 < V < 50, 1.6V + 0.34 for1 < V < 6, V 0.5 for 0.5 < V < 1 and 0 for V < 0.5.According to the Kruse model, q is taken as 1.6 for V > 50,1.3 for 6 < V < 500 and 0.585V

    1

    3 for V < 6 [2], [6]. So,attenuation decreases with the increment of wavelength,which

    is shown in Fig. 2. From Fig. 3, it is observed that the

    quality factor of optical receiver increases as an increase

    in wavelength of signal. The lower wavelength is scattered

    much more than the higher wavelength. The attenuation is

    less at higher wavelength compared to the lower wavelength.

    So under the environment of scattering losses, higher signal

    wavelength gives improvement. So the selection of wavelength

    is important in order to reduce scattering coefficient and at-

    mospheric attenuation. The higher wavelengths are also better

    for eye-safety. The wavelength radiation above 1.5 m is lessharmful and safe for eyes. It also allowed for carrying higher

    power than the shorter wavelengths. The higher wavelength

    FSO link gives opportunity to obtain better range in bad

    weather conditions as compared to the currently available ones

    at the shorter wavelength. As receiver aperture area increases,

    sensitivity of receiver increases due to increment in received

    optical power, which leads to increment in quality factor ofreceiver. The effective aperture area of the receiver improves

    the quality factor of FSO link. The increase in the aperture area

    of the receiver increases the sensitivity of the receiver.Figs.

    4 and 5 reported that as attenuation of FSO link decreases,

    quality factor of receiver improves, and also with increment

    of receiver aperture area, due to increment in sensitivity of

    receiver, Q factor improves.

    IV. CONCLUSION

    It is concluded that due to reduction in scattering loss at

    higher wavelength; as wavelength increases, quality factor of

    Fig. 1. Optsim 5.2 Simulation link of free space communication

    Fig. 2. Relationship between visibility range (km) for different wavelengths(nm)

    Fig. 3. Quality factor of receiver as function of input signal wavelength fordifferent receiver aperture area

    Fig. 4. Quality factor of optical receiver as function of attenuation fordifferent receiver aperture area

    receiver improves.Quality factor of optical receiver is also

    improves with increment in aperture area of detector due to

    increment in sensitivity of receiver due to large aperture area.

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    Fig. 5. Quality factor of optical receiver as function of receiver aperture areafor different atmospheric attenuation conditions

    ACKNOWLEDGMENT

    The authors would like to thank the management of Charu-

    tar Vidya Mandal , Vallabh Vidyanagar and management of A

    D Patel Institute of Technology for their continuous support

    and encouragement. The authors also like to thank the Rsoftdesign group for the OPTSIM 5.2 simulation software and

    Fiber Optics Services, Bombay.

    REFERENCES

    [1] Hennes Henniger and Otakar Wilfert, An introduction to free-space optical communications, Journal of Radio Engineering, vol. 19,no. 2,June 2010.

    [2] Muhammad Saleem Awan,Laszlo Csurgai Horwath,Sajid Sheikh Muham-mad,Erich Leitgeb Farukh Nadeem and Muhammad Saeed Khan, Char-acterization of fog and snow attenuations for free-space optical propaga-tion, Journal of Communication,vol. 4, no. 8, September 2009.

    [3] Wasiu O. Popoola and Zabih Ghassemlooy, BPSK subcarrier inten-sity modulated free space optical communication in atmospheric turbu-lence, Journal of Light wave Technology, vol. 27, no. 8, April 2009.

    [4] Fang Xu,Ali Khalighi, Patrice Causse and Salah Bourennane, Channelcoding and time diversity for optical wireless link, Journal of OpticalSociety of America, January 2009, vol. 17, no. 2.

    [5] Zeinab Hajjarian and Jarir Fadlullah, MIMO free space optical com-munication in turbid and turbulent atmosphere, Journal of Communica-tion, vol. 4, no. 8, pp. 524-532, September 2009.

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    [7] C. C. Chen, Performance analysis of a no coherently combined largeaperture optical heterodyne receiver, TDA progress report, pp. 42-93, January-March 1988.

    [8] M. A. Khalighi, N. Aitamer, N. Schwartz, S. Bourennane, TurbulenceMitigation by Aperture Averaging in Wireless Optical Systems, 10th In-

    ternational Conference on Telecommunications,pp. 59-66,ConTEL 2009.[9] Nazmi A. Mohammed, Mohammed R. Abaza and Moustafa H. Aly, Im-proved Performance of M-ary PPM in Different Free-Space OpticalChannels due to Reed Solomon Code Using APD, International Journalof Scientific & Engineering Research, vol. 2, Issue 4, pp. 1-4, April 2011.

    [10] Ivan B. Djordjevic, Stojan Denic, Jaime Anguita, Bane Va-sic and Mark A. Neifeld, LDPC-Coded MIMO Optical CommunicationOver the Atmospheric Turbulence Channel, IEEE Journal of LightwaveTechnology, vol. 26, no. 5, pp. 478-487, March 1, 2008.

    [11] Sachin.M.Kale and Asim Kar, Comparison of the BER Performanceof Coherent and Spatially Partially Coherent Light Beams In OpticalWireless Systems, IEMCON 2011, Organised by IEM in collaborationwith IEEE pp. 574-581.

    [12] Ahmed A. Farid and Steve Hranilovic, Outage Capacity Optimizationfor Free-Space Optical Links With Pointing Errors, Journal of LightwaveTechnology, vol. 25, no. 7,pp. 1702-1710 ,July 2007.

    [13] Colin Reinhardt, Yasuo Kuga, Sermsak Jaruwatanadilok and Akira Ishi-maru, Improving Bit-Error-Rate Performance of the Free-Space OpticalCommunications System with Channel Estimation Based on RadiativeTransfer Theory, IEEE Journal on selected areas in Communications,vol. 27, no. 9, December 2009, pp. 1591-1598.

    [14] Thomas Plank,Erich Leitgeb and Markus Loeschnigg, Recent Develop-ments on Free Space Optical Links and Wavelength Analysis, 2011 inter-national conference on space optical systems and applications. pp. 14-20.