Free Space Optical Communication System Design, Modeling, Characterization and Dealing with Turbulence
Recent progress in ICT has exceeded our expectations for meeting the requirement of multimedia society in the 21st century. The FSOC is considered to be one of the key technologies for realizing very high speed multi GbPs large-capacity terrestrial and aerospace communications. In FSOC, the optical...
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Main Author | |
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Format | eBook Book |
Language | English |
Published |
Germany
De Gruyter
2015
Walter de Gruyter Walter de Gruyter GmbH De Gruyter Oldenbourg |
Edition | 1 |
Subjects | |
Online Access | Get full text |
ISBN | 3110452618 9783110452617 9783110449952 3110449951 9783110450163 311045016X |
DOI | 10.1515/9783110452617 |
Cover
Table of Contents:
- Intro -- Preface -- Contents -- List of Tables -- List of Figures -- List of symbols and abbreviations -- 1 Introduction -- 1.1 Background -- 1.2 Research motivation -- 1.3 Characteristics of FSOC -- 1.3.1 Directionality of the light beam -- 1.3.2 Form factors, i.e. size and power per bit -- 1.3.3 Ability to be operated license-free worldwide and quick installation -- 1.3.4 Wavelength selection criteria -- 1.3.5 Challenges and limitations -- 1.4 Applications and advantages -- 1.5 Research objectives -- 1.6 Original contributions - newness and achievements -- 1.7 Thesis organization -- 2 Real-time measurement of meteorological parameters for estimating low altitude atmospheric turbulence strength (C2n ) -- 2.1 Introduction -- 2.2 Background and related works -- 2.3 Field test experimental setup and measurement protocol -- 2.4 Sensor interfacing architectures and data acquisition protocols -- 2.4.1 Wind speed measurement - cup anemometer -- 2.4.2 Relative humidity and temperature measurement - SHT11 Sensor -- 2.4.3 Absolute pressure measurement - SCP1000-D01 sensor -- 2.5 Communication protocol and frame format -- 2.6 Performance calibration of the proposed measurement system -- 2.7 Atmospheric turbulence strength (C2n) estimation -- 2.8 Experimental results and discussions -- 2.8.1 Data for 28th December 2012, winter -- 2.8.2 Data for 5th March 2013, presummer -- 2.8.3 Data for 17th May 2013, summer -- 2.8.4 Data for 13th June 2013, monsoon -- 2.8.5 Data for 16th November 2013, rainy -- 2.9Advantages -- 2.10 Summary -- 3 Comparison of different models for ground-level atmospheric attenuation and turbulence strength (C2n) prediction with new models according to local weather data for FSO applications -- 3.1 Introduction -- 3.2 Background and related works -- 3.3 Experimental setup and description of optoelectronic assembly
- 5.5.6 Multiply-Accumulator unit (MAC) -- 5.5.7 Serial communication manager -- 5.6 Experimental results and discussion -- 5.6.1 Control schemes validation and evaluation in open loop decision-making -- 5.6.2 Performance study of closed loop experiment with intensity feedback control -- 5.6.3 Analysis of beam spot auto alignment and reduction of wandering -- 5.6.4 Behavioral study of effective scintillation index and impulse response -- 5.7 Summary -- 6 Quality metrics and reliability analysis of ground-to-ground free space laser communication in different weather conditions together with beam steering system -- 6.1 Introduction -- 6.2 Background and related works -- 6.3 Theory and numerical technique for channel effect and BER evaluation -- 6.4 Simplex data transmission experimental setup and its description -- 6.5 Experimental results and data analysis -- 6.5.1 Comparative evaluation of received signal statistics -- 6.5.2 Impact validation of beam wandering compensation system -- 6.5.3 Quantitative analysis of atmospheric turbulence effects on communication parameters - improvement and reliability -- 6.6 Summary -- 7 Conclusions and future work -- 7.1 Conclusions -- 7.2 Future work -- References -- Index
- 3.4 Comparison models of atmospheric influence on optical propagation -- 3.4.1 Atmospheric attenuation -- 3.4.2 Atmospheric optical turbulence strength -- 3.5 Formulation of the mathematical model -- 3.5.1 Atmospheric attenuation -- 3.5.2 Atmospheric turbulence strength (C2n) from meteorological measurements -- 3.6 Experimental results and data analysis -- 3.6.1 Comparison of the predicted attenuation data with measured values -- 3.6.2 Comparison of predicted C2n data with measured values -- 3.7 Summary -- 4 Mitigation of beam wandering due to atmospheric turbulence and prediction of control quality using intelligent decision making tools -- 4.1 Introduction -- 4.2 Background and related works -- 4.3 FSO link - optoelectronic assembly and setup description -- 4.4 Steady state response analysis -- 4.4.1 Optoelectronic position detector -- 4.4.2 Piezo driving amplifier -- 4.4.3 Piezoelectric actuators -- 4.5 Development of response surface models -- 4.6 Development of the neural network model -- 4.7 Experimental results and discussion -- 4.7.1 Verification and validation of RSM and neural-controller model -- 4.7.2 Behavioral study of neural-controller in beam alignment -- 4.7.3 Analysis of receiver signal quality improvement -- 4.8 Summary -- 5 Low power and compact RSM and neural-controller design for beam wandering mitigation with a horizontal-path propagating Gaussian-beam wave: focused beam case -- 5.1 Introduction -- 5.2 Background and related works -- 5.3 Experimental plant configuration and centroid error computation -- 5.4 Formulation and implementation of direct controller -- 5.5 Hardware architecture and implementation of the neural-controller -- 5.5.1 Clock manager unit -- 5.5.2 Signal digitization and data preprocessing unit -- 5.5.3 Weight and bias memory management circuit -- 5.5.4 Neuron unit -- 5.5.5 Data Routing Ring Circuit (DRRC)
- 2. Real-time measurement of meteorological parameters for estimating low altitude atmospheric turbulence strength (C2 n)
- 3. Comparison of different models for ground-level atmospheric attenuation and turbulence strength (C2 n) prediction with new models according to local weather data for FSO applications
- 6. Quality metrics and reliability analysis of ground-to-ground free space laser communication in different weather conditions together with beam steering system
- Index
- -
- /
- Contents
- 5. Low power and compact RSM and neural-controller design for beam wandering mitigation with a horizontal-path propagating Gaussian-beam wave: focused beam case
- List of Tables
- References
- 1. Introduction
- Frontmatter --
- 7. Conclusions and future work
- List of Figures
- Preface
- List of symbols and abbreviations
- 4. Mitigation of beam wandering due to atmospheric turbulence and prediction of control quality using intelligent decision making tools