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Photonic Signal Processing: Techniques and Applications [Hardback]

(Huawei Technologies, Munich, Germany)
  • Format: Hardback, 376 pages, height x width: 235x156 mm, weight: 658 g, 204 Illustrations, black and white, Contains 130 hardbacks
  • Series: Optical Science and Engineering
  • Pub. Date: 01-Dec-2007
  • Publisher: CRC Press Inc
  • ISBN-10: 0849337623
  • ISBN-13: 9780849337628
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Photonic Signal Processing: Techniques and ApplicationsLarger Image
  • Format: Hardback, 376 pages, height x width: 235x156 mm, weight: 658 g, 204 Illustrations, black and white, Contains 130 hardbacks
  • Series: Optical Science and Engineering
  • Pub. Date: 01-Dec-2007
  • Publisher: CRC Press Inc
  • ISBN-10: 0849337623
  • ISBN-13: 9780849337628
Other books in subject:
Permanent link: https://www.kriso.ee/db/9780849337628.html
According to the author (director, Center for Telecommunications and Information Engineering, Monash U., Australia), photonic signal processing has the potential to overcome the electronic limits for processing ultra-wideband signals and also provides signal conditioning that can be integrated in-line with fiber optic systems. He wrote this book to address the emerging techniques of processing and manipulating of signals propagating in an optical domain. Over the course of six chapters he provides an introduction to the photonic components essential for photonic processing systems, discusses the representation of photonic circuits using signal-flow graph techniques, describes photonic signal processors such as differentiators and integrators, examines applications in the generation of solitons and in optically amplified fiber transmission systems, illustrates the compensation of dispersion using photonic processors, and explains the design of optical filters using photonic processing techniques. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)

The potential of photonic signal processing (PSP) to overcome electronic limits for processing ultra-wideband signals, provide signal conditioning that can be integrated in line with fiber optic systems, and improve signal quality makes this technology extremely attractive for improvement in receiver sensitivity performance. Spanning the current transitional period, Photonic Signal Processing: Techniques and Applications addresses the merging techniques of processing and manipulating signals propagating in the optical domain.

The book begins with a historical perspective of PSP and introduces photonic components essential for photonic processing systems, such as optical amplification devices, optical fibers, and optical modulators. The author demonstrates the representation of photonic circuits via a signal flow graph technique adapted for photonic domain. He describes photonic signal processors, such as differentiators and integrators, and their applications for the generation of solitons, and then covers the application of these solitons in optically amplified fiber transmission systems. The book illustrates the compensation dispersion using a photonic processor, the design of optical filters using photonic processor techniques, and the filtering of microwave signals in the optical domain.

Exploring methods for the processing of signals in the optical domain, the book includes solutions to photonic circuits that use signal flow techniques and significant applications in short pulse generation, the filtering of signals, differentiation, and the integration of signals. It delineates fundamental techniques on the processing of signals in the optical domain as well as their applications that lead to advanced aspects of performing generation of short pulses, integration, differentiation, and filtering for optical communications systems and networks and processing of ultra-high speed signals.

Preface xvii
Author xix
Chapter 1 Principal Photonic Devices for Processing 1
1.1 Optical Fiber Communications
1
1.2 Photonic Signal Processors
2
1.2.1 Photonic Signal Processing
2
1.2.2 Some Processor Components
3
1.2.2.1 Optical Amplifiers
3
1.2.2.2 Pumping Characteristics
4
1.2.2.3 Gain Characteristics
6
1.2.3 Noise Considerations of EDFAs and Impact on System Performance
10
1.2.3.1 Noise Considerations
10
1.2.3.2 Fiber Bragg Gratings
13
1.3 Optical Modulators
15
1.3.1 Introductory Remarks
15
1.3.2 Lithium Niobate Optical Modulators
16
1.3.2.1 Optical-Diffused Channel Waveguides
16
1.3.2.2 Linear Electro-Optic Effect
28
1.3.3 Electro-Absorption Modulators
35
1.3.3.1 Electro-Absorption Effects
35
1.3.3.2 Rib Channel Waveguides
38
1.3.4 Operational Principles and Transfer Characteristics
42
1.3.4.1 Electro-Optic Mach–Zehnder Interferometric Modulator
42
1.3.5 Modulation Characteristics and Transfer Function
51
1.3.5.1 Transfer Function
51
1.3.5.2 Extinction Ratio for Large Signal Operation
54
1.3.5.3 Small Signal Operation
55
1.3.5.4 DC Bias Stability and Linearization
55
1.3.6 Chirp in Modulators
56
1.3.6.1 General Aspects
56
1.3.6.2 Modulation Chirp
58
1.3.7 Electro-Optic Polymer Modulators
59
1.3.8 Modulators for Photonic Signal Processing
62
1.4 Remarks
64
References
64
Chapter 2 Incoherence and Coherence in Photonic Signal Processing 71
2.1 Introduction
71
2.2 Incoherent Fiber-Optic Signal Processing
72
2.2.1 Fiber-Optic Delay Lines
73
2.2.2 Fiber-Optic Directional Couplers
74
2.2.3 Fiber-Optic and Semiconductor Amplifiers
75
2.3 Coherent Integrated-Optic Signal Processing
76
2.3.1 Integrated-Optic Delay Lines
79
2.3.2 Integrated-Optic Phase Shifters
80
2.3.3 Integrated-Optic Directional Couplers
80
2.3.4 Integrated-Optic Amplifiers
83
2.4 Summary
84
References
85
Chapter 3 Photonic Computing Processors 89
3.1 Incoherent Fiber-Optic Systolic Array Processors
90
3.1.1 Introduction
90
3.1.2 Digital-Multiplication-by-Analog-Convolution Algorithm and Its Extended Version
91
3.1.2.1 Multiplication of Two Digital Numbers
91
3.1.2.2 High-Order Digital Multiplication
92
3.1.2.3 Sum of Products of Two Digital Numbers
94
3.1.2.4 Twos-Complement Binary Arithmetic
95
3.1.3 Elemental Optical Signal Processors
96
3.1.3.1 Optical Splitter and Combiner
96
3.1.3.2 Binary Programmable Incoherent Fiber-Optic Transversal Filter
98
3.1.4 Incoherent Fiber-Optic Systolic Array Processors for Digital Matrix Multiplications
100
3.1.4.1 Matrix–Vector Multiplication
100
3.1.4.2 Matrix–Matrix Multiplication
102
3.1.4.3 Cascaded Matrix Multiplication
104
3.1.5 Performance Comparison
106
3.1.5.1 Fiber-Optic Systolic Array Processors Using Nonbinary Data
107
3.1.5.2 High-Order Fiber-Optic Systolic Array Processors
109
3.1.6 Remarks
109
3.2 Programmable Incoherent Newton–Cotes Optical Integrator
111
3.2.1 Introductory Remarks
111
3.2.2 Newton–Cotes Digital Integrators
112
3.2.2.1 Transfer Function
112
3.2.2.2 Synthesis
114
3.2.2.3 Design of a Programmable Optical Integrating Processor
115
3.2.2.4 Analysis of the FIR Fiber-Optic Signal Processor
120
3.2.2.5 Analysis of the IIR Fiber-Optic Signal Processor
121
3.2.3 Remarks
124
3.2.3.1 Conclusions
129
3.3 Higher-Derivative FIR Optical Differentiators
129
3.3.1 Introduction
129
3.3.2 Higher-Derivative FIR Digital Differentiators
132
3.3.3 Synthesis of Higher-Derivative FIR Optical Differentiators
133
3.3.4 Remarks
136
3.3.4.1 First-Derivative Differentiators
136
3.3.4.2 Second-Derivative Differentiators
138
3.3.4.3 Third-Derivative Differentiators
140
3.3.4.4 Fourth-Derivative Differentiators
142
3.3.5 Remarks
147
Appendix A: Generalized Theory of the Newton–Cotes Digital Integrators
149
A.1 Definition of Numerical Integration
149
A.2 Newton's Interpolating Polynomial
150
A.3 General Form of the Newton–Cotes Closed Integration Formulas
152
A.4 Generalized Theory of the Newton–Cotes Digital Integrators
153
References
155
Chapter 4 Ultrashort Pulse Photonic Generators 159
4.1 Optical Dark-Soliton Generator and Detectors
159
4.1.1 Introduction
159
4.1.2 Optical Fiber Propagation Model
161
4.1.3 Design and Performance of Optical Dark-Soliton Detectors
162
4.1.3.1 Design of Optical Dark-Soliton Detectors
162
4.1.3.2 Performance of the Optical Differentiator
163
4.1.3.3 Performance of the Butterworth Lowpass Optical Filter
165
4.1.4 Design of the Optical Dark-Soliton Generator
166
4.1.4.1 Design of the Optical Integrator
166
4.1.4.2 Design of an Optical Dark-Soliton Generator
169
4.1.5 Performance of the Optical Dark-Soliton Generator and Detectors
171
4.1.5.1 Performance of the Optical Dark-Soliton Generator
171
4.1.5.2 Performance of the Combined Optical Dark-Soliton Generator and Optical Differentiator
172
4.1.5.3 Performance of the Combined Optical Dark-Soliton Generator and Butterworth Lowpass Optical Filter
174
4.1.6 Remarks
176
4.2 Mode-Locked Ultrashort Pulse Generators
178
4.2.1 Regenerative Mode-Locked Fiber Lasers
179
4.2.2 Ultrahigh Repetition Rate Fiber Mode-Locked Lasers
182
4.2.2.1 Mode-Locking Techniques and Conditions for Generation of Transform Limited Pulses from a Mode-Locked Laser
183
4.2.2.2 Experimental Setup and Results
186
4.2.2.3 Remarks
192
4.2.3 Active Mode-Locked Fiber Ring Laser by Rational Harmonic Detuning
193
4.2.3.1 Rational Harmonic Mode Locking
193
4.2.3.2 Experimental Setup
194
4.2.3.3 Phase Plane Analysis
195
4.2.3.4 Results and Discussion
199
4.2.3.5 Remarks
202
4.2.4 Repetition Rate Multiplication Ring Laser Using Temporal Diffraction Effects
202
4.2.4.1 GVD Repetition Rate Multiplication Technique
206
4.2.4.2 Experimental Setup
207
4.2.4.3 Phase Plane Analysis
208
4.2.4.4 Demonstration
213
4.2.4.5 Remarks
214
4.2.5 Multiwavelength Fiber Ring Lasers
218
4.2.5.1 Theory
219
4.2.5.2 Experimental Results and Discussion
222
4.2.6 Multiwavelength Tunable Fiber Ring Lasers
225
4.2.6.1 Remarks
229
References
230
Chapter 5 Dispersion Compensation Using Photonic Filters 235
5.1 Dispersion Compensation Using Optical Resonators
235
5.1.1 Signal-Flow Graph Application in Optical Resonators
237
5.1.2 Stability
244
5.1.3 Frequency and Impulse Responses
244
5.1.3.1 Frequency Response
244
5.1.3.2 Impulse and Pulse Responses
245
5.1.3.3 Cascade Networks
247
5.1.3.4 Circuits with Bidirectional Flow Path
247
5.1.3.5 Remarks
247
5.1.4 DCDR Circuit under Temporal Incoherent Condition
247
5.1.4.1 Transfer Function of the DCDR Circuit
248
5.1.4.2 Circulating-Input Intensity Transfer Functions
250
5.1.4.3 Analysis
251
5.1.4.4 Remarks
272
5.1.5 DCDR under Coherence Operation
273
5.1.5.1 Field Analysis of the DCDR Circuit
273
5.1.5.2 Output–Input Field Transfer Function
273
5.1.5.3 Circulating-Input Field Transfer Functions
275
5.1.5.4 Resonance of the DCDR Circuit
275
5.1.5.5 Transient Response of the DCDR Circuit
278
5.1.6 Photonic Resonator as a Dispersion Equalizer
285
5.1.6.1 Group Delay and Dispersion of the DCDR Resonator
289
5.1.6.2 Optical Eigenfilter as Dispersion Compensators
297
5.1.6.3 Remarks
297
5.2 Eigenfilter Design for Dispersion Compensation
300
5.2.1 Formulation of Dispersive Optical Fiber Channel
300
5.2.2 Formulation of Optical Dispersion Eigencompensation
300
5.2.3 Design
302
5.2.4 Performance Comparison of Eigenfilter and Chebyshev Filter Techniques
305
5.2.5 Synthesis of Optical Dispersion Eigencompensators
305
5.2.6 IM/DD Transmission System Model
307
5.2.7 Performance Comparison of Optical Dispersion Eigencompensator and Chebyshev Optical Equalizer
310
5.2.8 Eigencompensated System with Parameter Deviations of the Optical Dispersion Eigencompensator
314
5.2.9 Trade-Off between Transmission Distance and Eigenfilter Bandwidth
315
5.2.10 Compensation Power of Eigencompensating Technique
317
5.2.11 Remarks
319
References
319
Chapter 6 Tunable Optical Filters 325
6.1 Introduction
325
6.2 Basic Structures of Tunable Optical Filters
326
6.2.1 First-Order All-Pole Optical Filter
326
6.2.2 First-Order All-Zero Optical Filter
328
6.2.3 Mth-Order Tunable Optical Filter
331
6.3 Tunable Optical Filters
332
6.3.1 Design Equations for Tunable Optical Filters
332
6.3.2 Design of Second-Order Butterworth Tunable Optical Filters
333
6.3.3 Tuning Parameters of the Lowpass and Highpass Tunable Optical Filters
335
6.3.4 Tuning Parameters of Bandpass and Bandstop Tunable Optical Filters
338
6.3.5 Summary of Tuning Parameters of Tunable Optical Filters
338
6.3.6 Magnitude Responses of Tunable Optical Filters with Variable Bandwidth and Fixed Center Frequency Characteristics
339
6.3.7 Magnitude Responses of Tunable Optical Filters with Fixed Bandwidth and Variable Center Frequency Characteristics
342
6.3.8 Summary of Filtering Characteristics of Tunable Optical Filters
342
6.3.9 Discussions
344
6.4 An Experimental First-Order Butterworth Lowpass and Highpass Tunable Filters
345
6.5 Remarks
347
Appendix: Fundamental Characteristics of Recursive Digital Filters
349
References
352
Index 353