SlideShare a Scribd company logo
7 Capella Court
Nepean, ON, Canada
K2E 7X1
+1 (613) 224-4700
www.optiwave.com
©
2009
Optiwave
Systems,
Inc.
OptiSystem applications:
Photodiode sensitivity modelling
2
Introduction
 One of the main working parts of any optical receiver is the photodetector (which converts optical
power to an electric current). Either a PIN or APD (avalanche photodiode) photodetector can be used
depending on the system performance objectives.
 The bit error rate (BER) is the primary metric used to specify the reliability of a communication
transmission system and is normally linked to a Receiver sensitivity value which defines the
minimum average optical power that must reach the photodetector to achieve a desired BER
performance. Alternatively the Q of the channel can be calculated from sampled signal statistics and
used to estimate the system BER (OptiSystem supports both calculation methods).
 The photodetector plays an important role in defining the ultimate sensitivity of a basic communication
system as it contributes statistical perturbations in the form of shot (quantum-based) and thermal
noise. It also introduces a dark current (which can be viewed as DC noise) and has a defined
Responsivity (a measure of how much electrical output is obtained per unit of input power) which
depends on the wavelength of the incident light and the sensor’s material properties and physical
design. In addition to these effects, photodetectors also exhibit a frequency-dependent transfer
function due to the presence of a junction capacitance and the need to connect to a load resistor to
measure the received signal (for this analysis the transfer function is assumed to be ideal)
 The following four examples demonstrate how to setup and measure (using OptiSystem) the receiver
sensitivities of PIN and APD intensity-modulated direct-detection (IM-DD) systems, specifically:
 Quantum-limited ideal PIN photodetector
 Thermal-noise limited PIN photodetector
 Thermal and shot-noise APD performance
 PIN photodetector with optical pre-amplification
 The reference file for this application note is: PIN and APD Receiver Sensitivity Analysis Version 1_0
24 Jan 17.osd.
Photodetector sensitivity modelling
3
Ideal photodetector (PIN) Photodetector sensitivity modelling
 The test configuration is as follows : Bit rate: 10 Gb/s; Wavelength = 1550 nm; PIN responsivity: 1 A/W; Dark current = 0
nA; Sequence length = 1048576.
 As the receiver is ideal its only noise source is the PIN shot (quantum) noise - the thermal noise contribution has been
disabled. The receiver makes an error when an expected Logic 1 (ON signal) sees no photons (Poisson statistics). The
absolute threshold of the Data Recovery component is set to 1E-12 to verify this condition.
 The minimum number of photons/bit required to achieve a given BER can be calculated as follows: BER = 1/2 * exp (-
2*N) where N is the average number of photons per bit. For the example below the attenuator was set to 58.1 dB
(average photons per bit  6). The resulting expected quantum limit performance is LOG(BER) = -5.51.
 For the simulation run below, the BER Test Set shows that three bit errors were detected (LOG(BER) = -5.54)
REF: L. Kazovsky, S. Benedetto, A. Willner, Optical Fiber Communication Systems, Artech House (1996), pp. 199-200
To model quantum-limited performance
the Shot Noise Distribution has been
set to the Poisson statistical noise model
The BER Test Set is the best tool to model
quantum-limited performance as we need to count
(over a very long sequence) the number of times
that no photons are received over a specified bit
interval (but expecting a Logic 1 ON state)
A Component script has been set up to calculate
the average photons arriving per bit interval
(=Sampled Signal Power (Photons)/Bandwidth)
Layout: Ideal optical receiver (PIN)
4
Thermal noise limited PIN (1) Photodetector sensitivity modelling
 In this example the receiver sensitivity of a PIN photodiode (for Q=7, BER=1E-12) is determined based on the following
configuration: Bit rate: 100 Mb/s; Wavelength = 1550 nm; Load resistance: 100 ohm; Temp = 300K; PIN responsivity: 0.95
A/W
 In this case the primary noise source is the PIN thermal noise (Thermal noise current = 91 nA). The required receiver
sensitivity is approximately -31.7 dBm.
 NOTE: In the reference the load resistance is set to 200 ohm. As an additional amplifier noise figure of 3 dB is included in
the REF (to model an electrical post-amplifier), we have reduced the load resistance to 100 to account for this factor of 2
increase in noise.
REF: Keiser, Gerd; “Optical Fiber Communications”, 4th Ed., Tata McGraw Hill, 2008 (pp 261-262)
The PIN Photodiode includes theoretical calculations for
thermal and shot noise. You can verify the standard deviation
(RMS) levels of these noise sources under Component Results
The Eye Diagram Analyzer can be used to
validate the signal statistics and expected error
performance (Q factor)
The average received optical power is approx. -31.7 dBm
thus confirming the OptiSystem noise model’s alignment to
the theoretical calculation for receiver sensitivity
Layout: Thermal noise limited (PIN)
5
Thermal noise limited PIN (2) Photodetector sensitivity modelling
 The Component script feature can be used to perform custom calculations and results. If needed, parameters or
results from any component on the design canvas can be accessed and used as inputs for calculations.
 The VBScript below is associated with the PIN Component . The received signal Q is first calculated and then the
Receiver sensitivity is calculated based on a target Q (the measured Q can also be used).
 To access the Component script, right-click on the component and select Component Script from the pull-down menu
Access Parameters and Calculation
results from PIN Component
Calculate Q factor from average received signal
photocurrent and RMS levels for Logic 1 (thermal +
shot) and Logic 0 (shot noise)
Q = 2*Iavg/(Sigma1 + Sigma0)
Calculate Receiver sensitivity:
RxSen = Q*(Sigma1+Sigma0)/(2*R)
Export results to the Results tab (performed
at the end of each simulation run)
Note: These custom results need to be
manually added to the Component Results!
6
Thermal/shot noise APD
 In this example the receiver sensitivity of an APD photodiode (for Q=7, BER=1e-12) is determined based on the following
configuration: Bit rate: 100 Mb/s; Wavelength = 1550 nm; Load resistance: 100 ohm; Temp = 300K; PIN responsivity: 0.95
A/W; Gain(M) = 10; F(M) = 5.
 In this case the primary noise source remains the APD thermal noise (Thermal noise current = 100 nA) but the shot noise
increases due to the APD gain and excess noise factor (Shot noise current = 21 nA). However, as the signal also
undergoes gain the overall performance is improved in comparison to the PIN model (the required receiver sensitivity is
approximately -42 dBm).
 NOTE: In the reference the load resistance is set to 200 ohm. As an additional amplifier noise figure of 3 dB is included in
the REF (to model an electrical post-amplifier), we have reduced the load resistance to 100 to account for this factor of 2
increase in noise.
REF: Keiser, Gerd; “Optical Fiber Communications”, 4th Ed., Tata McGraw Hill, 2008 (pp 261-262)
The Eye Diagram Analyzer can be used to
validate the signal statistics and expected error
performance (Q-factor)
The average received optical power is approx. -41.2 dBm
thus confirming the OptiSystem noise model’s alignment to
the theoretical calculation for receiver sensitivity
Photodetector sensitivity modelling
Layout: Thermal and Shot Noise (APD)
7
PIN with Optical Pre-Amp (1)
 In this example the receiver sensitivity of an PIN photodiode with an optical pre-amplifier (for Q=7, BER=1e-12) is
modelled based on the following configuration: Bit rate: 100 Mb/s; Wavelength = 1550 nm (193.4145 THz) ; OA Gain=30
dB; OA_NF=4 dB; Optical Filter BW =Bitrate*2; PIN responsivity: 0.95 A/W; Receiver BW = Bit rate
 In this case the primary noise source is assumed to be the signal-ASE beat noise (as we are applying a channel filter
after the OA, the ASE-ASE beat noise can be neglected).
 The thermal noise has also been neglected for this analysis but will generally add a degradation especially when the
optical power at the receiver is low (less than 1 mW)
 The receiver sensitivity is calculated as follows: RcvrSenPwr = NFLinear*h*Freq*RxBW*(Q^2 + Q(rf-0.5)^0.5
REF: Optical Communication Systems (OPT428), slides 280-282, Govind P. Agrawal, Institute of Optics, University of Rochester,
Rochester, NY 14627 (http://www.optics.rochester.edu/users/gpa/opt428c.pdf - Accessed 9 Jan 2017)
The Eye Diagram Analyzer can be used to
validate the signal statistics and expected error
performance (Q-factor)
The average received optical power is approx. -57.3 dBm
thus confirming the OptiSystem noise model’s alignment to
the theoretical calculation for receiver sensitivity
Photodetector sensitivity modelling
The electrical receiver bandwidth is set by the
parameter Bandwidth(Shot) = Bit rate.
The Optical PreFilter is an ideal rectangular
filter with bandwidth = 2*Bit rate (centered at
193.414 THz)
Layout: Optical pre-amplifier (PIN)
8
PIN with Optical Pre-Amp (2) Photodetector sensitivity modelling
 The VBScript below is associated with the PIN Component (Layout: Optical pre-amplifier (PIN)). The optical sensitivity
is calculated three ways: Photons per bit, Power (W), Power (dBm)
 The Bandwidth ratio (rf) defines the ratio of the optical filter bandwidth to that of the electrical receiver bandwidth
(keeping this ratio low helps to improve the receiver sensitivity).
Access Parameters and Calculation
results from PIN component
Define local variables for calculations. These values
can also be accessed from global parameters.
Calculations for receiver sensitivity
(Photons/bit, Power (W), Power (dBm)
Export results to the Component Results tab
(performed at the end of each simulation run)

More Related Content

Similar to Скрипты для OptiSystem.ppt

Attenuation-Limited_Fiber_Length.pdf
Attenuation-Limited_Fiber_Length.pdfAttenuation-Limited_Fiber_Length.pdf
Attenuation-Limited_Fiber_Length.pdf
ingeandres2
 
F0331031037
F0331031037F0331031037
F0331031037
inventionjournals
 
Mitigation of Noise in OFDM Based Plc System Using Filter Kernel Design
Mitigation of Noise in OFDM Based Plc System Using Filter Kernel DesignMitigation of Noise in OFDM Based Plc System Using Filter Kernel Design
Mitigation of Noise in OFDM Based Plc System Using Filter Kernel Design
IJERA Editor
 
GAS@IGARSS2011.ppt
GAS@IGARSS2011.pptGAS@IGARSS2011.ppt
GAS@IGARSS2011.ppt
grssieee
 
NASA Fundamental of FSO.pdf
NASA Fundamental of FSO.pdfNASA Fundamental of FSO.pdf
NASA Fundamental of FSO.pdf
zoohir
 
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
IRJET Journal
 
MANUALES DE MEDIDOR DE IMPEDANCIA PARA AP
MANUALES DE MEDIDOR DE IMPEDANCIA PARA APMANUALES DE MEDIDOR DE IMPEDANCIA PARA AP
MANUALES DE MEDIDOR DE IMPEDANCIA PARA AP
Johnny Chuqui Gavilanes
 
Modeling of Optical Scattering in Advanced LIGO
Modeling of Optical Scattering in Advanced LIGOModeling of Optical Scattering in Advanced LIGO
Modeling of Optical Scattering in Advanced LIGO
Hunter Rew
 
ADC Conveter Performance and Limitations.ppt
ADC Conveter Performance and Limitations.pptADC Conveter Performance and Limitations.ppt
ADC Conveter Performance and Limitations.ppt
BEVARAVASUDEVAAP1813
 
OC_Part (9).pdf
OC_Part (9).pdfOC_Part (9).pdf
OC_Part (9).pdf
Redhwan Qasem Shaddad
 
Handheld Infrared Thermometer
Handheld Infrared ThermometerHandheld Infrared Thermometer
Handheld Infrared Thermometer
Premier Farnell
 
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
Cao Xuân Trình
 
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
Cao Xuân Trình
 
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
IRJET Journal
 
Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2
Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2
Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2
IRJET Journal
 
LNA Sensitivity for Receivers
LNA Sensitivity for ReceiversLNA Sensitivity for Receivers
LNA Sensitivity for Receivers
HamidKiabi
 
DESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNEL
DESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNELDESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNEL
DESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNEL
Mohammad Liton Hossain
 
Design and Implementation a BPSK Modem and BER Measurement in AWGN Channel
Design and Implementation a BPSK Modem and BER Measurement in AWGN ChannelDesign and Implementation a BPSK Modem and BER Measurement in AWGN Channel
Design and Implementation a BPSK Modem and BER Measurement in AWGN Channel
IJSRP Journal
 
Optimization channal contral power in live umts network
Optimization channal contral power in live umts networkOptimization channal contral power in live umts network
Optimization channal contral power in live umts network
Thananan numatti
 
Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...
Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...
Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...
IJTET Journal
 

Similar to Скрипты для OptiSystem.ppt (20)

Attenuation-Limited_Fiber_Length.pdf
Attenuation-Limited_Fiber_Length.pdfAttenuation-Limited_Fiber_Length.pdf
Attenuation-Limited_Fiber_Length.pdf
 
F0331031037
F0331031037F0331031037
F0331031037
 
Mitigation of Noise in OFDM Based Plc System Using Filter Kernel Design
Mitigation of Noise in OFDM Based Plc System Using Filter Kernel DesignMitigation of Noise in OFDM Based Plc System Using Filter Kernel Design
Mitigation of Noise in OFDM Based Plc System Using Filter Kernel Design
 
GAS@IGARSS2011.ppt
GAS@IGARSS2011.pptGAS@IGARSS2011.ppt
GAS@IGARSS2011.ppt
 
NASA Fundamental of FSO.pdf
NASA Fundamental of FSO.pdfNASA Fundamental of FSO.pdf
NASA Fundamental of FSO.pdf
 
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
Analysis of Phase Noise and Gaussian Noise in terms of Average BER for DP 16-...
 
MANUALES DE MEDIDOR DE IMPEDANCIA PARA AP
MANUALES DE MEDIDOR DE IMPEDANCIA PARA APMANUALES DE MEDIDOR DE IMPEDANCIA PARA AP
MANUALES DE MEDIDOR DE IMPEDANCIA PARA AP
 
Modeling of Optical Scattering in Advanced LIGO
Modeling of Optical Scattering in Advanced LIGOModeling of Optical Scattering in Advanced LIGO
Modeling of Optical Scattering in Advanced LIGO
 
ADC Conveter Performance and Limitations.ppt
ADC Conveter Performance and Limitations.pptADC Conveter Performance and Limitations.ppt
ADC Conveter Performance and Limitations.ppt
 
OC_Part (9).pdf
OC_Part (9).pdfOC_Part (9).pdf
OC_Part (9).pdf
 
Handheld Infrared Thermometer
Handheld Infrared ThermometerHandheld Infrared Thermometer
Handheld Infrared Thermometer
 
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
 
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success55 w 60126-0-tech-brief_keys-to-coherent-acq-success
55 w 60126-0-tech-brief_keys-to-coherent-acq-success
 
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
Comparative Analysis of DP QPSK and DP 16-QAM Optical Coherent Receiver, with...
 
Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2
Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2
Video Quality Evaluation of MPEG-4 Using (MOS) Mean Opinion Score in NS-2
 
LNA Sensitivity for Receivers
LNA Sensitivity for ReceiversLNA Sensitivity for Receivers
LNA Sensitivity for Receivers
 
DESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNEL
DESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNELDESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNEL
DESIGN AND IMPLEMENTATION A BPSK MODEM AND BER MEASUREMENT IN AWGN CHANNEL
 
Design and Implementation a BPSK Modem and BER Measurement in AWGN Channel
Design and Implementation a BPSK Modem and BER Measurement in AWGN ChannelDesign and Implementation a BPSK Modem and BER Measurement in AWGN Channel
Design and Implementation a BPSK Modem and BER Measurement in AWGN Channel
 
Optimization channal contral power in live umts network
Optimization channal contral power in live umts networkOptimization channal contral power in live umts network
Optimization channal contral power in live umts network
 
Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...
Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...
Effective Area and Power Reduction for Low-Voltage CMOS Image Sensor Based Ap...
 

More from werom2

alcatel optical transport evolution DWDM.pdf
alcatel optical transport evolution DWDM.pdfalcatel optical transport evolution DWDM.pdf
alcatel optical transport evolution DWDM.pdf
werom2
 
Facebook и оптические сети связи презентация.pdf
Facebook и оптические сети связи презентация.pdfFacebook и оптические сети связи презентация.pdf
Facebook и оптические сети связи презентация.pdf
werom2
 
lecture_slides_for_signals_and_systems-3.0.pdf
lecture_slides_for_signals_and_systems-3.0.pdflecture_slides_for_signals_and_systems-3.0.pdf
lecture_slides_for_signals_and_systems-3.0.pdf
werom2
 
DSP digital signal processing Course_Contents.ppt
DSP digital signal processing  Course_Contents.pptDSP digital signal processing  Course_Contents.ppt
DSP digital signal processing Course_Contents.ppt
werom2
 
Frequency and FDTD.ppt
Frequency and FDTD.pptFrequency and FDTD.ppt
Frequency and FDTD.ppt
werom2
 
Finite Element Method.ppt
Finite Element Method.pptFinite Element Method.ppt
Finite Element Method.ppt
werom2
 
Метод конечных элементов.ppt
Метод конечных элементов.pptМетод конечных элементов.ppt
Метод конечных элементов.ppt
werom2
 
Ray Tracing.pptx
Ray Tracing.pptxRay Tracing.pptx
Ray Tracing.pptx
werom2
 
Qualcomm.pdf
Qualcomm.pdfQualcomm.pdf
Qualcomm.pdf
werom2
 

More from werom2 (9)

alcatel optical transport evolution DWDM.pdf
alcatel optical transport evolution DWDM.pdfalcatel optical transport evolution DWDM.pdf
alcatel optical transport evolution DWDM.pdf
 
Facebook и оптические сети связи презентация.pdf
Facebook и оптические сети связи презентация.pdfFacebook и оптические сети связи презентация.pdf
Facebook и оптические сети связи презентация.pdf
 
lecture_slides_for_signals_and_systems-3.0.pdf
lecture_slides_for_signals_and_systems-3.0.pdflecture_slides_for_signals_and_systems-3.0.pdf
lecture_slides_for_signals_and_systems-3.0.pdf
 
DSP digital signal processing Course_Contents.ppt
DSP digital signal processing  Course_Contents.pptDSP digital signal processing  Course_Contents.ppt
DSP digital signal processing Course_Contents.ppt
 
Frequency and FDTD.ppt
Frequency and FDTD.pptFrequency and FDTD.ppt
Frequency and FDTD.ppt
 
Finite Element Method.ppt
Finite Element Method.pptFinite Element Method.ppt
Finite Element Method.ppt
 
Метод конечных элементов.ppt
Метод конечных элементов.pptМетод конечных элементов.ppt
Метод конечных элементов.ppt
 
Ray Tracing.pptx
Ray Tracing.pptxRay Tracing.pptx
Ray Tracing.pptx
 
Qualcomm.pdf
Qualcomm.pdfQualcomm.pdf
Qualcomm.pdf
 

Recently uploaded

CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1
PKavitha10
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
171ticu
 
Welding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdfWelding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdf
AjmalKhan50578
 
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURSCompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
RamonNovais6
 
AI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptxAI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptx
architagupta876
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
kandramariana6
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
Madan Karki
 
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
Atif Razi
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
21UME003TUSHARDEB
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
abbyasa1014
 
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
Yasser Mahgoub
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
VANDANAMOHANGOUDA
 
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classicationcnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
SakkaravarthiShanmug
 
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
IJECEIAES
 
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
ecqow
 
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
shadow0702a
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
KrishnaveniKrishnara1
 
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
bijceesjournal
 
Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...
bijceesjournal
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
co23btech11018
 

Recently uploaded (20)

CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1CEC 352 - SATELLITE COMMUNICATION UNIT 1
CEC 352 - SATELLITE COMMUNICATION UNIT 1
 
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样官方认证美国密歇根州立大学毕业证学位证书原版一模一样
官方认证美国密歇根州立大学毕业证学位证书原版一模一样
 
Welding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdfWelding Metallurgy Ferrous Materials.pdf
Welding Metallurgy Ferrous Materials.pdf
 
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURSCompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
CompEx~Manual~1210 (2).pdf COMPEX GAS AND VAPOURS
 
AI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptxAI assisted telemedicine KIOSK for Rural India.pptx
AI assisted telemedicine KIOSK for Rural India.pptx
 
132/33KV substation case study Presentation
132/33KV substation case study Presentation132/33KV substation case study Presentation
132/33KV substation case study Presentation
 
spirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptxspirit beverages ppt without graphics.pptx
spirit beverages ppt without graphics.pptx
 
Applications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdfApplications of artificial Intelligence in Mechanical Engineering.pdf
Applications of artificial Intelligence in Mechanical Engineering.pdf
 
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdfMechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering on AAI Summer Training Report-003.pdf
 
Engineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdfEngineering Drawings Lecture Detail Drawings 2014.pdf
Engineering Drawings Lecture Detail Drawings 2014.pdf
 
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
 
ITSM Integration with MuleSoft.pptx
ITSM  Integration with MuleSoft.pptxITSM  Integration with MuleSoft.pptx
ITSM Integration with MuleSoft.pptx
 
cnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classicationcnn.pptx Convolutional neural network used for image classication
cnn.pptx Convolutional neural network used for image classication
 
An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...An improved modulation technique suitable for a three level flying capacitor ...
An improved modulation technique suitable for a three level flying capacitor ...
 
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
 
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
 
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.pptUnit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
 
Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...Comparative analysis between traditional aquaponics and reconstructed aquapon...
Comparative analysis between traditional aquaponics and reconstructed aquapon...
 
Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...Rainfall intensity duration frequency curve statistical analysis and modeling...
Rainfall intensity duration frequency curve statistical analysis and modeling...
 
Computational Engineering IITH Presentation
Computational Engineering IITH PresentationComputational Engineering IITH Presentation
Computational Engineering IITH Presentation
 

Скрипты для OptiSystem.ppt

  • 1. 7 Capella Court Nepean, ON, Canada K2E 7X1 +1 (613) 224-4700 www.optiwave.com © 2009 Optiwave Systems, Inc. OptiSystem applications: Photodiode sensitivity modelling
  • 2. 2 Introduction  One of the main working parts of any optical receiver is the photodetector (which converts optical power to an electric current). Either a PIN or APD (avalanche photodiode) photodetector can be used depending on the system performance objectives.  The bit error rate (BER) is the primary metric used to specify the reliability of a communication transmission system and is normally linked to a Receiver sensitivity value which defines the minimum average optical power that must reach the photodetector to achieve a desired BER performance. Alternatively the Q of the channel can be calculated from sampled signal statistics and used to estimate the system BER (OptiSystem supports both calculation methods).  The photodetector plays an important role in defining the ultimate sensitivity of a basic communication system as it contributes statistical perturbations in the form of shot (quantum-based) and thermal noise. It also introduces a dark current (which can be viewed as DC noise) and has a defined Responsivity (a measure of how much electrical output is obtained per unit of input power) which depends on the wavelength of the incident light and the sensor’s material properties and physical design. In addition to these effects, photodetectors also exhibit a frequency-dependent transfer function due to the presence of a junction capacitance and the need to connect to a load resistor to measure the received signal (for this analysis the transfer function is assumed to be ideal)  The following four examples demonstrate how to setup and measure (using OptiSystem) the receiver sensitivities of PIN and APD intensity-modulated direct-detection (IM-DD) systems, specifically:  Quantum-limited ideal PIN photodetector  Thermal-noise limited PIN photodetector  Thermal and shot-noise APD performance  PIN photodetector with optical pre-amplification  The reference file for this application note is: PIN and APD Receiver Sensitivity Analysis Version 1_0 24 Jan 17.osd. Photodetector sensitivity modelling
  • 3. 3 Ideal photodetector (PIN) Photodetector sensitivity modelling  The test configuration is as follows : Bit rate: 10 Gb/s; Wavelength = 1550 nm; PIN responsivity: 1 A/W; Dark current = 0 nA; Sequence length = 1048576.  As the receiver is ideal its only noise source is the PIN shot (quantum) noise - the thermal noise contribution has been disabled. The receiver makes an error when an expected Logic 1 (ON signal) sees no photons (Poisson statistics). The absolute threshold of the Data Recovery component is set to 1E-12 to verify this condition.  The minimum number of photons/bit required to achieve a given BER can be calculated as follows: BER = 1/2 * exp (- 2*N) where N is the average number of photons per bit. For the example below the attenuator was set to 58.1 dB (average photons per bit  6). The resulting expected quantum limit performance is LOG(BER) = -5.51.  For the simulation run below, the BER Test Set shows that three bit errors were detected (LOG(BER) = -5.54) REF: L. Kazovsky, S. Benedetto, A. Willner, Optical Fiber Communication Systems, Artech House (1996), pp. 199-200 To model quantum-limited performance the Shot Noise Distribution has been set to the Poisson statistical noise model The BER Test Set is the best tool to model quantum-limited performance as we need to count (over a very long sequence) the number of times that no photons are received over a specified bit interval (but expecting a Logic 1 ON state) A Component script has been set up to calculate the average photons arriving per bit interval (=Sampled Signal Power (Photons)/Bandwidth) Layout: Ideal optical receiver (PIN)
  • 4. 4 Thermal noise limited PIN (1) Photodetector sensitivity modelling  In this example the receiver sensitivity of a PIN photodiode (for Q=7, BER=1E-12) is determined based on the following configuration: Bit rate: 100 Mb/s; Wavelength = 1550 nm; Load resistance: 100 ohm; Temp = 300K; PIN responsivity: 0.95 A/W  In this case the primary noise source is the PIN thermal noise (Thermal noise current = 91 nA). The required receiver sensitivity is approximately -31.7 dBm.  NOTE: In the reference the load resistance is set to 200 ohm. As an additional amplifier noise figure of 3 dB is included in the REF (to model an electrical post-amplifier), we have reduced the load resistance to 100 to account for this factor of 2 increase in noise. REF: Keiser, Gerd; “Optical Fiber Communications”, 4th Ed., Tata McGraw Hill, 2008 (pp 261-262) The PIN Photodiode includes theoretical calculations for thermal and shot noise. You can verify the standard deviation (RMS) levels of these noise sources under Component Results The Eye Diagram Analyzer can be used to validate the signal statistics and expected error performance (Q factor) The average received optical power is approx. -31.7 dBm thus confirming the OptiSystem noise model’s alignment to the theoretical calculation for receiver sensitivity Layout: Thermal noise limited (PIN)
  • 5. 5 Thermal noise limited PIN (2) Photodetector sensitivity modelling  The Component script feature can be used to perform custom calculations and results. If needed, parameters or results from any component on the design canvas can be accessed and used as inputs for calculations.  The VBScript below is associated with the PIN Component . The received signal Q is first calculated and then the Receiver sensitivity is calculated based on a target Q (the measured Q can also be used).  To access the Component script, right-click on the component and select Component Script from the pull-down menu Access Parameters and Calculation results from PIN Component Calculate Q factor from average received signal photocurrent and RMS levels for Logic 1 (thermal + shot) and Logic 0 (shot noise) Q = 2*Iavg/(Sigma1 + Sigma0) Calculate Receiver sensitivity: RxSen = Q*(Sigma1+Sigma0)/(2*R) Export results to the Results tab (performed at the end of each simulation run) Note: These custom results need to be manually added to the Component Results!
  • 6. 6 Thermal/shot noise APD  In this example the receiver sensitivity of an APD photodiode (for Q=7, BER=1e-12) is determined based on the following configuration: Bit rate: 100 Mb/s; Wavelength = 1550 nm; Load resistance: 100 ohm; Temp = 300K; PIN responsivity: 0.95 A/W; Gain(M) = 10; F(M) = 5.  In this case the primary noise source remains the APD thermal noise (Thermal noise current = 100 nA) but the shot noise increases due to the APD gain and excess noise factor (Shot noise current = 21 nA). However, as the signal also undergoes gain the overall performance is improved in comparison to the PIN model (the required receiver sensitivity is approximately -42 dBm).  NOTE: In the reference the load resistance is set to 200 ohm. As an additional amplifier noise figure of 3 dB is included in the REF (to model an electrical post-amplifier), we have reduced the load resistance to 100 to account for this factor of 2 increase in noise. REF: Keiser, Gerd; “Optical Fiber Communications”, 4th Ed., Tata McGraw Hill, 2008 (pp 261-262) The Eye Diagram Analyzer can be used to validate the signal statistics and expected error performance (Q-factor) The average received optical power is approx. -41.2 dBm thus confirming the OptiSystem noise model’s alignment to the theoretical calculation for receiver sensitivity Photodetector sensitivity modelling Layout: Thermal and Shot Noise (APD)
  • 7. 7 PIN with Optical Pre-Amp (1)  In this example the receiver sensitivity of an PIN photodiode with an optical pre-amplifier (for Q=7, BER=1e-12) is modelled based on the following configuration: Bit rate: 100 Mb/s; Wavelength = 1550 nm (193.4145 THz) ; OA Gain=30 dB; OA_NF=4 dB; Optical Filter BW =Bitrate*2; PIN responsivity: 0.95 A/W; Receiver BW = Bit rate  In this case the primary noise source is assumed to be the signal-ASE beat noise (as we are applying a channel filter after the OA, the ASE-ASE beat noise can be neglected).  The thermal noise has also been neglected for this analysis but will generally add a degradation especially when the optical power at the receiver is low (less than 1 mW)  The receiver sensitivity is calculated as follows: RcvrSenPwr = NFLinear*h*Freq*RxBW*(Q^2 + Q(rf-0.5)^0.5 REF: Optical Communication Systems (OPT428), slides 280-282, Govind P. Agrawal, Institute of Optics, University of Rochester, Rochester, NY 14627 (http://www.optics.rochester.edu/users/gpa/opt428c.pdf - Accessed 9 Jan 2017) The Eye Diagram Analyzer can be used to validate the signal statistics and expected error performance (Q-factor) The average received optical power is approx. -57.3 dBm thus confirming the OptiSystem noise model’s alignment to the theoretical calculation for receiver sensitivity Photodetector sensitivity modelling The electrical receiver bandwidth is set by the parameter Bandwidth(Shot) = Bit rate. The Optical PreFilter is an ideal rectangular filter with bandwidth = 2*Bit rate (centered at 193.414 THz) Layout: Optical pre-amplifier (PIN)
  • 8. 8 PIN with Optical Pre-Amp (2) Photodetector sensitivity modelling  The VBScript below is associated with the PIN Component (Layout: Optical pre-amplifier (PIN)). The optical sensitivity is calculated three ways: Photons per bit, Power (W), Power (dBm)  The Bandwidth ratio (rf) defines the ratio of the optical filter bandwidth to that of the electrical receiver bandwidth (keeping this ratio low helps to improve the receiver sensitivity). Access Parameters and Calculation results from PIN component Define local variables for calculations. These values can also be accessed from global parameters. Calculations for receiver sensitivity (Photons/bit, Power (W), Power (dBm) Export results to the Component Results tab (performed at the end of each simulation run)