de
en
Schliessen
Detailsuche
Bibliotheken
Projekt
Impressum
Datenschutz
Schliessen
Publizieren
Besondere Sammlungen
Digitalisierungsservice
Hilfe
Impressum
Datenschutz
zum Inhalt
Detailsuche
Schnellsuche:
OK
Ergebnisliste
Titel
Titel
Inhalt
Inhalt
Seite
Seite
Im Werk suchen
Development and real-time implementation of digital signal processing algorithms for coherent optical receivers / Timo Pfau. 2009
Inhalt
Abstract
Zusammenfassung
Publications
Table of contents
Glossary
1 Introduction
1.1 The European synQPSK project
1.2 Outline of the thesis
2 Fundamentals
2.1 M-ary quadrature amplitude modulation
2.1.1 QAM constellations with equidistant-phases
2.1.2 Square QAM constellations
2.1.3 Differential encoding and decoding
2.2 Coherent optical QAM transmission system
2.2.1 Optical QAM transmitter
2.2.2 Polarization-multiplexed QAM transmitter
2.2.3 Optical transmission link impairments
2.2.3.1 Attenuation
2.2.3.2 Polarization crosstalk & polarization-dependent loss
2.2.3.3 Chromatic dispersion
2.2.3.4 Polarization mode dispersion
2.2.3.5 Amplified spontaneous emission
2.2.4 Coherent optical QAM receiver with digital signal processing
2.2.4.1 Polarization diversity coherent optical receiver frontend
2.2.4.2 Analog-to-digital conversion and digital signal processing
2.2.4.3 Phase noise in a coherent digital receiver
3 Digital signal processing algorithms for coherent optical receivers
3.1 Constraints for algorithms in digital receivers for coherent optical communication
3.1.1 Feasibility of parallel processing
3.1.2 Hardware efficiency
3.1.3 Tolerance against feedback delays
3.2 Clock recovery
3.3 Polarization control & equalization
3.3.1 Non-data-aided polarization control
3.3.2 Decision-directed polarization control
3.3.3 Decision-directed ISI compensation
3.4 Feed-forward carrier recovery
3.4.1 Viterbi & Viterbi algorithm
3.4.2 Weighted Viterbi & Viterbi algorithm
3.4.3 Barycenter algorithm
3.4.4 Feed-forward carrier recovery for arbitrary QAM constellations
3.4.4.1 Square QAM constellations
3.4.4.2 Arbitrary QAM constellations
3.4.4.3 Hardware-efficient implementation
3.4.4.3.1 Efficient calculation of vector rotations
3.4.4.3.2 Calculation of the distance to the closest constellation point
3.4.4.3.3 Filter function
3.4.5 Hardware effort
3.5 Data recovery
3.5.1 Data recovery for QAM constellations with equidistant-phases
3.5.2 Data recovery for square QAM constellations
3.6 Intermediate frequency control
3.6.1 External LO frequency control
3.6.2 Internal intermediate frequency compensation
4 Simulation results
4.1 QPSK carrier recovery
4.1.1 QPSK carrier phase estimator efficiency and mean squared error
4.1.1.1 Carrier phase estimator efficiency for Δf·TS = 0
4.1.1.2 Carrier phase estimator mean squared error for Δf·TS > 0
4.1.2 QPSK phase noise tolerance
4.1.2.1 Viterbi & Viterbi algorithm performance
4.1.2.2 (S)MLPA algorithm performance
4.1.2.3 4-QAM carrier recovery performance
4.1.2.4 Summary
4.1.2.5 Common carrier in a polarization-multiplexed QPSK receiver
4.1.3 QPSK analog-to-digital converter resolution
4.1.4 QPSK phase resolution
4.2 QAM carrier recovery
4.2.1 Square QAM phase angle resolution
4.2.2 Square QAM phase estimator efficiency
4.2.3 Square QAM phase noise tolerance
4.2.4 Square QAM analog-to-digital converter resolution
4.2.5 Square QAM internal resolutions
4.3 Polarization control and PMD compensation
4.3.1 Comparison of polarization control algorithms
4.3.2 Verification of the ISI compensation algorithm
4.3.2.1 Impact of the control gain on the receiver sensitivity
4.3.2.2 PMD compensation performance
4.3.2.3 Optimization of the start-up sequence
5 Implementation of a synchronous optical QPSK transmission system with real-time coherent digital receiver
5.1 Single-polarization synchronous QPSK transmission with real-time FPGA-based coherent receiver
5.1.1 Single-polarization synchronous QPSK transmission setup
5.1.1.1 QPSK transmitter
5.1.1.2 Coherent optical receiver frontend
5.1.1.3 FPGA-based digital signal processing
5.1.2 Self-homodyne experiment results at 800 Mb/s
5.1.3 Intradyne experiment results at 800 Mb/s
5.1.4 Intradyne experiment results at 1.6 Gb/s
5.1.5 System optimizations & comparison of 90° hybrid with 3x3 coupler
5.1.6 Comparison of experimental with simulation results
5.2 Polarization-multiplexed synchronous QPSK transmission with real-time FPGA-based coherent receiver
5.2.1 Polarization-multiplexed QPSK transmission setup
5.2.1.1 Pattern generator and QPSK precoder
5.2.1.2 QPSK transmitter
5.2.1.3 Ultra-fast polarization scrambler
5.2.1.4 Polarization diversity coherent optical receiver frontend
5.2.1.5 FPGA-based digital signal processing
5.2.2 Influence of different carrier recovery filter widths
5.2.3 Polarization tracking capability
5.2.4 Polarization tracking capability with optimized VHDL code
5.2.5 Influence of PDL on the receiver sensitivity
5.3 Polarization-multiplexed synchronous QPSK transmission with real-time ASIC based coherent receiver
5.3.1 Transmission with and without polarization crosstalk
5.3.2 Influence of different carrier recovery filter widths
5.3.3 Single-polarization vs. polarization-multiplexed QPSK transmission
6 Discussion
7 Summary
8 Outlook
9 Bibliography
10 List of figures & tables
Acknowledgement
Die detaillierte Suchanfrage erfordert aktiviertes Javascript.