Binary Pulse Position Modulation Simulation System in Free Space Optical Communication Systems

Embed Size (px)

Citation preview

  • 7/27/2019 Binary Pulse Position Modulation Simulation System in Free Space Optical Communication Systems

    1/4

    ICIAS 2010: International Conference on Intelligent and Advanced Systems

    Binary Pulse Position Modulation Simulation

    System in Free Space Optical Communication

    Systems

    AbstractFree space optical communication system

    (FSO) is a potential solution for increasing bandwidth

    demands. The FSO has a capability to provide high speed

    data communication, economic and quick deployable.

    Although FSO has several advantages, but at the same time

    FSO faces a major challenge from scintillation introduced

    by atmospheric turbulence. In this paper, the simulation

    performance for the binary pulse position modulation

    (BPPM) system is done under weak and strong atmospheric

    turbulence. The performances are analyze in terms of bit

    error rate (BER) and eye diagrams. The system use

    avalanched photodiode (APD) receiver. The simulation was

    verified with ideal calculated performance for BPPM. The

    results show the simulation system is capable to give theBER similar like mathematical model and give the optimum

    gain of APD to achieve the best BER in atmospheric

    turbulence environment. The optimum gain for APD result

    from the simulation for weak turbulence is 150-165 and 160

    for strong turbulence.

    Index TermsAtmospheric Turbulence, Avalanche

    Photodiode, Binary Pulse Position Modulation, Free Space

    Optical Communication Systems.

    I. INTRODUCTION

    FSO typically currently used intensity modulation with

    direct detection (IM/DD) since this system associated

    with complexity of phase and frequency modulation [1].

    However, in practice, the performance of FSO can be

    degraded and scintillation induced by atmospheric

    turbulence as a major impairment. Atmosphericturbulence happens due to variations in the index or

    refraction caused by temperature fluctuation. The impact

    of atmospheric turbulence is it can cause random

    variations in signal intensity. The turbulence is classified

    as weak when scintillation index is less than 0.75 while

    scintillation index of 1 represents a strong turbulence [8].

    Generally, scintillation index is a complicated function of

    the beam parameters, propagation distance, height of the

    transmitter and receiver, and the fluctuations in the index

    of refraction [2].

    A system using PPM is better than On Off Keying

    (OOK) because PPM is power efficient compared toOOK since satellite communication links required the

    large peak laser power level to survive huge losses during

    transmission [4]. The presence of a pulse in the symbol

    frame regardless of the transmitted symbol benefits the

    clock recovery subsystem, whereas an On-Off Keying(OOK) system may suffer synchronization loss if a

    sequence of zeros is encountered [6]. However the

    current technology, Q-switched laser cannot be toggled

    between on and off states at a very high rate. This

    scenario automatically is limiting the data rate that can be

    supported using OOK transmission scheme.Avalanche photodiodes (APD) are used to boost the

    signal level over additive noise level present at thereceiver [4]. This is because the signal received by the

    detector is attenuated due to large distances and effect

    from the atmosphere. APD will magnify each incident

    photon to a high number of randomly distributed

    postdetection electrons. An APD can provide mean gain

    values in the range 50 to 200 [1]. In BPPM systems, they

    will increase the bit error rate (BER) since APD will

    produce excess noise factor. This excess noise factor was

    affected by APD gain and ionization factor of APD. Inother word, there is very important to use suitable gain of

    APD in FSO systems since APD gain leads to an increase

    of excess noise factor and ultimately reducing the BER.

    This paper will discuss the details about BPPM insection II. It is consists the format of BPPM system, the

    N. Tahir1, N. Mohamad Saad

    1, B. B. Samir

    1, V. K. Jain

    1, S. A. Aljunid

    2

    1Electrical & Electronic Engineering Department, Universiti Teknologi PETRONAS,

    Bandar Seri Iskandar, 31750 Tronoh, Perak, MALAYSIA

    Tel: +605-368-8000 Fax: +605-365-74432Research and Development Unit, Universiti Malaysia Perlis

    01000 Kangar, Perlis, MALAYSIA

    Tel: +04-9798784 Fax: +04-9798790

    [email protected], [email protected],[email protected],

    [email protected], [email protected]

    Free space optical communication systems (FSO) is an

    optical communication that uses laser light to transmit

    data between two points. The laser light propagates infree space so that this technology becomes the best

    solution to overcome the problems occurred by using

    optical fiber. Systems of FSO can function over distances

    of several kilometers as long as there is a clear line of

    sight between the transmitter and the receiver,

    communication is theoretically possible. Even if there is

    no direct line of sight, strategically positioned mirrors can

    be used to reflect the energy. The beams can pass through

    clean glass windows with little or no attenuation.

  • 7/27/2019 Binary Pulse Position Modulation Simulation System in Free Space Optical Communication Systems

    2/4

    ICIAS 2010: International Conference on Intelligent and Advanced Systems

    photodetection process and the probability of word error.

    The simulation system of PPM using APD withatmospheric turbulence is briefly described in section III.

    In section IV, this paper shows results of simulation

    systems including the simulation signals; the clock signal,

    the information signal, the BPPM modulated signal and

    the detected signal at the receiver.

    II. BINARY PULSE POSITION MODULATIONIn BPPM, two bits are transmitted in block instead of

    one at a time. The block is called a BPPM frame. Optical

    pulse is placed in one of two adjacent time slots to

    represent the data block. The optical block encoding isachieved by converting each block of two bits into one of

    optical fields for transmission. At the receiver, decoding

    of each block is achieved by determining which of the

    fields is being received during each block time.

    The optical PPM direct detection receiver block

    diagram is shown in Fig. 1[1]. At receiver, PPM decoder

    must decide which one of the slots occurring during aframe time contains the optical pulse. The incoming field

    is photodetected, and slot integration is made for each

    slot time by a synchronized slot clock. The sequence of

    slot integrations, (v1,v2,,vM) collected over a frame time

    are then compared for the maximum, with the largest oneidentifying the signal slot for that frame. This maximum

    comparison among the slot values is in fact the decoding

    test producing the minimum probability of a decoding

    error. Decoding word error happens when incorrect slot

    produces a higher integration value than the correct slot.

    The integrators densities depend on photodetection

    model.

    (a)

    (b)

    Fig. 1. Binary Pulse Position Modulation format. (a) Encoder. (b)

    Receiver and decoder

    The probability word error (PWE) represents the

    probability of decoding the incorrect PPM pulse position.

    But, the incorrect decoded word may still produce some

    correct bits. The bit error probability (PE) is different

    from the PWE. This relation can be obtained by

    determining the probability that a given bit of the word

    will be incorrect after incorrect decoding. If incorrectly

    decoded word is equally likely to be any of the remaining

    word, then a given bit will be decoded as any of the bits

    in the same position of each word. In two equally bit

    patterns, a given bit position will be a one or zero one

    times. In summary, the probability of a given bit being inerror is this probability times the probability that the word

    was in error.

    III. SIMULATION SYSTEM MODEL

    The modulator is built to perform the random datasignals into PPM format. A clock is added to make the

    random data coded. Pulse will coded as zero when the

    clock strikes and it does not receive signal until one cycle

    later. While when the clock strikes and received a signal,

    the pulse will be coded as one. Then the demodulator will

    recover the modulated data. Electrical rescale is used to

    scale the maximum and minimum values of the inputsignals. The oscilloscope is used to monitor the signal so

    that the signal is modulated in the PPM format.

    The modulated signal is transmitted using laser with

    wavelength of 1550 nanometer. The medium used FSOlink with affected atmospheric turbulence. Since the

    atmospheric turbulence usually expressed in terms of

    normalized intensity variance or scintillation index [7],

    the Rytov approximation is used to get the turbulence

    strength in m-2/3 unit. By using the Rytov relationship,

    the turbulence strength will be performed in optical signalattenuation in dB/km.

    Fig. 2. BPPM system simulation model

    In the receiver part, APD is used as a photodetector.

    The gain of APD varies from 50 to 200 to get the bestBER in turbulence FSO channel. The ionization factor

    is fixed to 0.028 for all simulation done. The dark

    current of APD in this simulation system is 10 nano

    Ampere while the responsivity is 70 A/W. The main

    reason of using APD is because this photodetector has

    more sensitivity than PIN receiver, making so that it

    suitable to use for long distance.

  • 7/27/2019 Binary Pulse Position Modulation Simulation System in Free Space Optical Communication Systems

    3/4

    ICIAS 2010: International Conference on Intelligent and Advanced Systems

    Eye diagram for

    scintillation index 0.35

    Eye height2.8097X10-6

    Minimum BER6.8197X10-6

    Eye diagram forscintillation index 0.55

    Eye height1.1860X10-6

    Minimum BER

    1.6245X10-4

    IV. RESULTSAND DISCUSSION

    The oscilloscopes are used to monitor the signal sothat the simulation system model is in BPPM format.

    The bit rate for this system is 2.4 Giga bit per second

    (Gbps) when the noise temperature is in room

    temperature. The figures below show the simulation

    signals. They included the clock signal, theinformation signal, the BPPM modulated signal and

    the detected signal at the receiver.

    (a)

    (b)

    (c)

    (d)

    Fig. 3. BPPM simulation signals. (a) The clock signal. (b) Theinformation signal. (c) The modulated BPPM signal. (d) The detected

    signal at receiver

    The simulation is performed for several of APD gain

    from the range 50 to 200. All the simulation is divided by

    two scenarios, which are for weak turbulence and strong

    turbulence. For weak turbulence, the scintillation index is

    in the range of 0 to 0.75 while for strong turbulence, thescintillation index is 1. In this paper, the simulations for

    weak turbulence are done for scintillation index 0.2, 0.35

    and 0.55. The simulation system performance is

    monitored using eye diagram analyzer. From this

    analyzer, we also get the value for eye height and

    minimum BER for the simulation system.

    Figure 4 (a) and (b) shows the eye diagram for

    scintillation index 0.35 and 0.55. The other parameters

    are remaining fixed. For scintillation index 0.35, the eyeheight of eye diagram is bigger than eye height for

    scintillation index 0.55 for the same APD gain. While for

    BER, the scintillation index of 0.35 shows smaller BER

    than scintillation index 0.55. As expected, the increasingatmospheric turbulence results in an increase in the

    required signal level to achieve the same performance.

    To determine the best APD gain for weak turbulence,

    the simulation system model is done for three scintillation

    indexes, which are scintillation index 0.20, 0.35 and 0.55.Figure 5 shows the results of BER versus APD gain forvarious scintillation indexes. The graph shows the

    improvement of BER with increasing APD gain. But, at

    APD gain more than 170, the BER starts to increase. This

    is because the large APD gain leads to an increase in

    excess noise factor, and resulting the increase of BER.

    In Figure 6, the result for strong turbulence is done for

    various APD gain to find the best one. As expected, the

    trend of the graph follows the trends of weak turbulence

    but with bigger BER. The excess noise factor caused by

    large gain of APD is verified in this simulation. For

    strong atmospheric turbulence, the best of APD gain is in

    the area of 160. The major effect that affects the BER forBPPM system is excess noise factor of photodetector,

    while other parameters are constant. It is very important

    to get the best value of APD gain so that the FSO systems

    will perform the best BER for atmospheric turbulence

    scenario.

    (a)

    (b)

    Fig. 4. (a) The eye diagram for scintillation index 0.35. (b) The eyediagram for scintillation index 0.55

  • 7/27/2019 Binary Pulse Position Modulation Simulation System in Free Space Optical Communication Systems

    4/4

    ICIAS 2010: International Conference on Intelligent and Advanced Systems

    Fig. 5. BER vs APD gain for various scintillation index of weak

    turbulence for BPPM simulation system

    Fig. 6. BER vs APD gain for strong turbulence BPPM simulation

    system

    IV. CONCLUSION

    The simulation system of BPPM for weak and strongturbulence channel are successfully done using Optic

    Software (OptiSys). The results show perfect simulation

    signals included the clock signal, the information signal,

    the BPPM modulated signal and the signal detected at the

    receiver. The results also show the graph for BER in

    different gain of APD and various scintillation index ofatmospheric turbulence.

    Therefore, the major contribution from this paper is in

    designing a simulation system model for M-ary PPM inweak and strong turbulence channel using the same

    software. The simulation and numerical result will be

    compared to see the performance of BPPM in FSO

    channel. The simulation was verified with ideal

    calculated performance for BPPM.

    ACKNOWLEDGEMENT

    This research has been supported by the Postgraduate

    Office of Universiti Teknologi Petronas.

    REFERENCES

    [1] Robert M. Gagliardi and Sherman Karp, OpticalCommunications, John Wiley & sons Inc., Second Edition,

    1995.[2] Kamran Kiasaleh, Performance of APD-Based, PPM Free-

    Space Optical Communication Systems in Atmospheric

    Turbulence, IEEE Trans. on Communications, vol.53, no.9,September 2005

    [3] S. Karp, R.M Gagliardi, S.E Mohan, and L.B Stotts, OpticalChannels, New York, Plenum Press, 1988.

    [4] Kamran Kiasaleh, Tsun Yee Yan and Meera Srinivan, Trellis-Coded Pulse Position Modulation for Optical CommunicationSystems Impaired by Pulsewidth Inaccuracies, Journal of

    Lightwave Technology, Vol. 17, pp. 1336-1346, No. 8, August

    1999.[5] Heba Yuksel, Christopher C. Davis and Linda Wasicko,

    Aperture Averaging Experiment for Optimizing Receiver

    Design and Analyzing Turbulence on Free Space OpticalCommunication, CTuG4 Conference on Lasers & Electro-

    Optics (CLEO), 2005.

    [6] Jagtar Singh and V.K Jain, Performance Analysis of BPPMand M-ary PPM Optical Communication Systems in

    Atmospheric Turbulence, IETE Technical Review, Vol.25,

    Issue 4, July-Aug 2008.[7] S. Karp, R. M. Gagliardi, S. E. Moran, and L. B. Scotts,

    Optical Channels, New York, Plenum Press, 1988

    [8] V. W. S. Chan, Coding for the Turbulent Atmospheric OpticalChannel, IEEE Trans. Commun., vol. 1, pp. 269-275, Jan

    1982.

    [9] Marvin K. Simon and Mohamed Slim Alouni, DigitalCommunication Over Fading Channels, Wiley Series in

    Telecommunications and Signal Processing, John G. Proakis,

    Series Editor, 2000.[10] Bernard Sklar, Digital Communications: Fundamentals and

    Applications, Second Edition, Prentice Hall International Inc.,

    2001