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Optical Communication System Performance: Bit-Error Rate & Receiver Sensitivity, Study Guides, Projects, Research of Theories of Communication

A term project for ece-542 (spring 2004) where students are required to collaborate in small groups and analyze the performance of an on-off keying (binary) direct-detection optical communication system. The project involves calculating the bit-error rate (ber) and receiver sensitivity (s) as functions of fiber-coupled power, transmission data rate, circuit noise parameter, and number of fiber sections. Students are expected to use the available components, including an ingaasp led, fiber sections, and an avalanche photodiode, to perform the analysis. The document also provides references for further study.

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ECE-542 (Spring 2004)
TERM PROJECT
DUE DATE: Thursday, May 6, 4PM
LATE SUBMISSIONS ARE NOT ACCEPTED
General remarks: You are asked to collaborate with each other in small groups. Each student
must submit his/her own report. The report must include an introduction, analysis, numerical
results, thorough discussion of the results, a conclusion, and references. Lengthy derivations
should be included in an appendix. I expect to see typed reports that are at a professional level of
quality. All figures, graphs, and tables must be adequately labeled and captioned. The report must
be connected and exhibit smooth logical flow. Start early!
Project description: This project involves the performance analysis of an on-off keying (binary)
direct-detection optical communication system. In such a system, a binary stream of data is used
to modulate a light source. The modulated light is transmitted through a series of fiber sections
that may involve the detection and regeneration of light prior to each new section. At the
destination, a synchronous receiver observes the signal for the duration of each bit and decides
whether a high (on-light) or low (off-light) signal was sent by the transmitter in the prescribed bit.
The performance of the system can be measured by the bit-error rate (BER), defined as the
average probability of a bit error. The BER is typically plotted as a function of the transmission
rate R (bits per second), the optical energy per bit, length of the fiber, etc. Another common
measure of performance is the receiver sensitivity S, defined as the minimum mean number of
photons per bit necessary to achieve a BER of 10-9
.
The performance of an optical communication system is governed by the performance of its
components, which consist of the transmitter, the link, and the receiver. Factors that affect the
performance of the transmitter include the responsivity of the light source, its bandwidth (time
response), and the transmitter-to-fiber light coupling efficiency. The performance of the link is
governed by the length of each section, the number of repeaters, attenuation loss, modal, material,
and polarization-mode dispersion, inter-link connector loss, etc. For lack of relevance to this
course, repeater loss and all forms of dispersion will be ignored in this project. The performance
of the optical receiver is governed by the detector gain noise (uncertainty), shot noise, circuit
noise, bandwidth of the receiver (which gives rise to intersymbol interference, ISI), and possibly
background radiation noise. We will assume that the receiver integrates the photocurrent over the
duration of a bit (i.e., it measures the accumulated charge per bit) and compares it to an optimal
threshold. This receiver is called an integrate-and-dump receiver. A common simplifying
assumption in the BER calculations is that the receiver output signal (prior to the decision stage)
is assumed to be Gaussian.
We begin by listing the available components:
a) InGaAsP LED with a 0.1mW maximum fiber-coupled power, and a bandwidth of 3 GHz.
b) Fiber sections, each 500 m long, with 1.5 dB/km attenuation at a wavelength of 1300 nm.
c) An avalanche photodiode (APD) with a mean gain in the range 5-50 and quantum efficiency of
0.4 at 1300 nm (see Ref. 1, Ch. 17 and become familiar with APDs and their gain statistics).
Assume that the random impulse response (response when a photon is absorbed) of the APD is
I(t) = Gq
τ
−1 exp{-t/
τ
}u(t), where
τ
is the response time of approximately 500 ps, q is the
pf3

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Download Optical Communication System Performance: Bit-Error Rate & Receiver Sensitivity and more Study Guides, Projects, Research Theories of Communication in PDF only on Docsity!

ECE-542 (Spring 2004)

TERM PROJECT

DUE DATE: Thursday, May 6, 4PM LATE SUBMISSIONS ARE NOT ACCEPTED

General remarks: You are asked to collaborate with each other in small groups. Each student must submit his/her own report. The report must include an introduction, analysis, numerical results, thorough discussion of the results, a conclusion, and references. Lengthy derivations should be included in an appendix. I expect to see typed reports that are at a professional level of quality. All figures, graphs, and tables must be adequately labeled and captioned. The report must be connected and exhibit smooth logical flow. Start early!

Project description: This project involves the performance analysis of an on-off keying (binary) direct-detection optical communication system. In such a system, a binary stream of data is used to modulate a light source. The modulated light is transmitted through a series of fiber sections that may involve the detection and regeneration of light prior to each new section. At the destination, a synchronous receiver observes the signal for the duration of each bit and decides whether a high (on-light) or low (off-light) signal was sent by the transmitter in the prescribed bit. The performance of the system can be measured by the bit-error rate (BER), defined as the average probability of a bit error. The BER is typically plotted as a function of the transmission rate R (bits per second), the optical energy per bit, length of the fiber, etc. Another common measure of performance is the receiver sensitivity S , defined as the minimum mean number of photons per bit necessary to achieve a BER of 10 -9.

The performance of an optical communication system is governed by the performance of its components, which consist of the transmitter, the link, and the receiver. Factors that affect the performance of the transmitter include the responsivity of the light source, its bandwidth (time response), and the transmitter-to-fiber light coupling efficiency. The performance of the link is governed by the length of each section, the number of repeaters, attenuation loss, modal, material, and polarization-mode dispersion, inter-link connector loss, etc. For lack of relevance to this course, repeater loss and all forms of dispersion will be ignored in this project. The performance of the optical receiver is governed by the detector gain noise (uncertainty), shot noise, circuit noise, bandwidth of the receiver (which gives rise to intersymbol interference, ISI), and possibly background radiation noise. We will assume that the receiver integrates the photocurrent over the duration of a bit (i.e., it measures the accumulated charge per bit) and compares it to an optimal threshold. This receiver is called an integrate-and-dump receiver. A common simplifying assumption in the BER calculations is that the receiver output signal (prior to the decision stage) is assumed to be Gaussian.

We begin by listing the available components:

a) InGaAsP LED with a 0.1mW maximum fiber-coupled power, and a bandwidth of 3 GHz. b) Fiber sections, each 500 m long, with 1.5 dB/km attenuation at a wavelength of 1300 nm. c) An avalanche photodiode (APD) with a mean gain in the range 5-50 and quantum efficiency of 0.4 at 1300 nm (see Ref. 1, Ch. 17 and become familiar with APDs and their gain statistics). Assume that the random impulse response (response when a photon is absorbed) of the APD is

I ( t ) = Gq τ−1^ exp{- t / τ } u ( t ), where τ is the response time of approximately 500 ps, q is the

electronic charge, and u ( t ) is the unit-step function. Also assume that the additive zero-mean Gaussian noise has two-sided power spectral density of 1.0x10 -23^ (W/Hz).

Comment on the performance of the above system by performing the following tasks:

  1. Plot the dependence of the BER on the fiber-coupled power for a fixed number of sections.
  2. Plot the dependence of the BER on the transmission data rate R. Let R range from 0.1 to 3 Gbits/s.
  3. Plot the receiver sensitivity S as a function of R for a fixed number of sections. Are these sensitivities achievable using the sources available for this project?

4) Plot S as a function of the circuit noise parameter σ. Let σ vary between 0 to 10^3 e (C per bit)

  1. Plot S as a function of the number of fiber sections.
  2. What are the major factors that degrade the performance at high bit rates?
  3. What are the major factors that degrade the performance at low bit rates?
  4. When would it be necessary to consider the effect of ISI caused by non-adjacent neighboring bits?
  5. How can you build a 2-3 tap equalizer to reduce the effect of ISI?

Remarks:

Your performance analysis should include the effects of: a) Shot noise: resulting from the random nature of the arrival times of photons. b) Circuit noise in the receiver circuitry. c) Time-response limitations of the APD. d) Attenuation losses in the fiber sections. e) Intersymbol interference from neighboring bits. f) You may ignore the RC effects of the receivers (i.e., assume that the RC time constant is negligible compared to the photocurrent integration time).

References

  • Saleh & Teich, Fundamentals of Photonics , 1991, Chapters 16, 17, and 22.
  • S. D. Personic, Fiber Optics, Plenum, New York, 1985.
  • C. W. Helstrom, “Computing the performance of optical receivers with avalanche photodiodes,” IEEE Trans. Comm ., vol. 36, pp. 61-66, Jan. 1988.
  • M. M. Hayat, B. E. Saleh, and J. A. Gubner, “Bit-error rates for optical receivers using avalanche photodiodes with dead space,” IEEE Trans. Comm ., vol. 43, no. 1, pp. 99-106, Jan.
  • P. K. Cheo, Fiber Optics, Devices and Systems , Prentice-Hall, Englewood Cliffs, NJ, 1985.
  • G. V. Agrawal, Fiber-Optic Communication Systems, 2 nd^ Edition, Wiley-Interscience, 1997.
  • Our textbook for the material on linear equalizers.