Query: Optical Fiber Communication Systems with MATLAB

Candidate papers:

abstract: Preface. 1 Introduction. 1.1 Historical Perspective. 1.2 Basic Concepts. 1.3 Optical Communication Systems. 1.4 Lightwave System Components. Problems. References. 2 Optical Fibers. 2.1 Geometrical Optics Description. 2.2 Wave Propagation. 2.3 Dispersion in Single Mode Fibers. 2.4 Dispersion Induced Limitations. 2.5 Fiber Losses. 2.6 Nonlinear Optical Effects. 2.7 Fiber Design and Fabrication. Problems. References. 3 Optical Transmitters. 3.1 Semiconductor Laser Physics. 3.2 Single Mode Semiconductor Lasers. 3.3 Laser Characteristics. 3.4 Optical Signal Generation. 3.5 Light Emitting Diodes. 3.6 Transmitter Design. Problems. References. 4 Optical Receivers. 4.1 Basic Concepts. 4.2 Common Photodetectors. 4.3 Receiver Design. 4.4 Receiver Noise. 4.5 Coherent Detection. 4.6 Receiver Sensitivity. 4.7 Sensitivity Degradation. 4.8 Receiver Performance. Problems. References. 5 Lightwave Systems. 5.1 System Architectures. 5.2 Design Guidelines. 5.3 Long Haul Systems. 5.4 Sources of Power Penalty. 5.5 Forward Error Correction. 5.6 Computer Aided Design. Problems. References. 6 Multichannel Systems. 6.1 WDM Lightwave Systems. 6.2 WDM Components. 6.3 System Performance Issues. 6.4 Time Division Multiplexing. 6.5 Subcarrier Multiplexing. 6.6 Code Division Multiplexing. Problems. References. 7 Loss Management. 7.1 Compensation of Fiber Losses. 7.2 Erbium Doped Fiber Amplifiers. 7.3 Raman Amplifiers. 7.4 Optical Signal To Noise Ratio. 7.5 Electrical Signal To Noise Ratio. 7.6 Receiver Sensitivity and Q Factor. 7.7 Role of Dispersive and Nonlinear Effects. 7.8 Periodically Amplified Lightwave Systems. Problems. References. 8 Dispersion Management. 8.1 Dispersion Problem and Its Solution. 8.2 Dispersion Compensating Fibers. 8.3 Fiber Bragg Gratings. 8.4 Dispersion Equalizing Filters. 8.5 Optical Phase Conjugation. 8.6 Channels at High Bit Rates. 8.7 Electronic Dispersion Compensation. Problems. References. 9 Control of Nonlinear Effects. 9.1 Impact of Fiber Nonlinearity. 9.2 Solitons in Optical Fibers. 9.3 Dispersion Managed Solitons. 9.4 Pseudo linear Lightwave Systems. 9.5 Control of Intrachannel Nonlinear Effects. Problems. References. 10 Advanced Lightwave Systems. 10.1 Advanced Modulation Formats. 10.2 Demodulation Schemes. 10.3 Shot Noise and Bit Error Rate. 10.4 Sensitivity Degradation Mechanisms. 10.5 Impact of Nonlinear Effects. 10.6 Recent Progress. 10.7 Ultimate Channel Capacity. Problems. References. 11 Optical Signal Processing. 11.1 Nonlinear Techniques and Devices. 11.2 All Optical Flip Flops. 11.3 Wavelength Converters. 11.4 Ultrafast Optical Switching. 11.5 Optical Regenerators. Problems. References. A System of Units. B Acronyms. C General Formula for Pulse Broadening. D Software Package.
author_names: Govind P Agrawal
title: Fiber optic communication systems
year: 1992

abstract: Detailing a systems approach, Optical Wireless Communications: System and Channel Modelling with MATLAB, is a self contained volume that concisely and comprehensively covers the theory and technology of optical wireless communications systems (OWC) in a way that is suitable for undergraduate and graduate level students, as well as researchers and professional engineers. Incorporating MATLAB throughout, the authors highlight past and current research activities to illustrate optical sources, transmitters, detectors, receivers, and other devices used in optical wireless communications. They also discuss both indoor and outdoor environments, discussing how different factorsincluding various channel modelsaffect system performance and mitigation techniques. In addition, this book broadly covers crucial aspects of OWC systems: Fundamental principles of OWC Devices and systems Modulation techniques and schemes (including polarization shift keying) Channel models and system performance analysis Emerging visible light communications Terrestrial free space optics communication Use of infrared in indoor OWC One entire chapter explores the emerging field of visible light communications, and others describe techniques for using theoretical analysis and simulation to mitigate channel impact on system performance. Additional topics include wavelet denoising, artificial neural networks, and spatial diversity. Content also covers different challenges encountered in OWC, as well as outlining possible solutions and current research trends. A major attraction of the book is the presentation of MATLAB simulations and codes, which enable readers to execute extensive simulations and better understand OWC in general.
author_names: Zabih Ghassemlooy

Wasiu O Popoola

Sujan Rajbhandari
title: Optical Wireless Communications: System and Channel Modelling with MATLAB(r)
year: 2012

abstract: Optical fibers are used extensively for data transmission systems because of their dielectric nature and their large information carrying capacity. Network architectures using multiple wavelength channels per optical fiber are utilized in local, metropolitan, or wide area applications to connect thousands of users having a wide range of transmission capacities and speeds. A powerful aspect of an optical communication link is that many different wavelengths can be sent along a fiber simultaneously in the 1300 to 1600 nm spectrum. The technology of combining a number of wavelengths onto the same fiber is known as wavelength division multiplexing (WDM) The concept of WDM used in conjunction with optical amplifiers has resulted in communication links that allow rapid communications between users in countries all over the world. Keywords: optical fibers; attenuation; photonic systems; WDM; optical amplifiers; dispersion; nonlinear effects
author_names: Gerd E Keiser
title: Optical Fiber Communications
year: 1983

abstract: Getting the books optical fiber communication systems with matlab and simulink models second edition now is not type of inspiring means. You could not deserted going in the manner of books deposit or library or borrowing from your associates to admittance them. This is an completely easy means to specifically acquire lead by on line. This online declaration optical fiber communication systems with matlab and simulink models second edition can be one of the options to accompany you next having further time.
author_names: Le Nguyen Binh
title: Optical Fiber Communication Systems with MATLAB(r) and Simulink(r) Models
year: 2014

abstract: We report the fabrication of a new type of optical waveguide: the photonic crystal fiber. It consists of a pure silica core surrounded by a silica air photonic crystal material with a hexagonal symmetry. The fiber supports a single robust low loss guided mode over a very broad spectral range of at least 458 1550 nm.
author_names: Jonathan C Knight

Timothy A Birks

Phillip St J Russell

D M Atkin
title: All silica single mode optical fiber with photonic crystal cladding.
venue: Optics letters
year: 1996

abstract: Preface 1. Differentiation matrices 2. Unbounded grids: the semidiscrete Fourier transform 3. Periodic grids: the DFT and FFT 4. Smoothness and spectral accuracy 5. Polynomial interpolation and clustered grids 6. Chebyshev differentiation matrices 7. Boundary value problems 8. Chebyshev series and the FFT 9. Eigenvalues and pseudospectra 10. Time stepping and stability regions 11. Polar coordinates 12. Integrals and quadrature formulas 13. More about boundary conditions 14. Fourth order problems Afterword Bibliography Index.
author_names: Lloyd N Trefethen
title: Spectral Methods in MATLAB
year: 2000

abstract: 1. Introduction. 2. Fundamentals. 3. Intensity Transformations and Spatial Filtering. 4. Frequency Domain Processing. 5. Image Restoration. 6. Color Image Processing. 7. Wavelets. 8. Image Compression. 9. Morphological Image Processing. 10. Image Segmentation. 11. Representation and Description. 12. Object Recognition.
author_names: Rafael C Gonzalez

Richard E Woods

Steven L Eddins
title: Digital image processing using MATLAB
year: 2004

abstract: (NOTE: Each chapter concludes with Further Reading and Problems. 1. Introduction. Historical Review. Elements of an Electrical Communication System. Communication Channels and Their Characteristics. Mathematical Models for Communication Channels. Organization of the Book. 2. Frequency Domain Analysis of Signals and Systems. Fourier Series. Fourier Transforms. Power and Energy. Sampling of Bandlimited Signals. Bandpass Signals. 3. Analog Signal Transmission and Reception. Introduction to Modulation. Amplitude Modulation (AM) Angle Modulation. Radio and Television Broadcasting. Mobile Radio Stations. 4. Random Processes. Probability and Random Variables. Random Processes: Basic Concepts. Random Processes in the Frequency Domain. Gaussian and White Processes. Bandlimited Processes and Sampling. Bandpass Processes. 5. Effect of Noise on Analog Communication Systems. Effect of Noise on Linear Modulation Systems. Carrier Phase Estimation with a Phase Locked Loop (PLL) Effect of Noise on Angle Modulation. Comparison of Analog Modulation Systems. Effects of Transmission Losses and Noise in Analog Communication Systems. 6. Information Sources and Source Coding. Modeling of Information Sources. Source Coding Theorem. Source Coding Algorithms. Rate Distortion Theory. Quantization. Waveform Coding. Analysis Synthesis Techniques. Digital Audio Transmission and Digital Audio Recording. The JPEG Image Coding Standard. 7. Digital Transmission through the Additive White Gaussian Noise Channel. Geometric Representation of Signal Waveforms. Pulse Amplitude Modulation. Two Dimensional Signal Waveforms. Multidimensional Signal Waveforms. Optimum Receiver for Digitally Modulated Signals in Additive White Gaussian Noise. Probability of Error for Signal Detection in Additive White Gaussian Noise. Performance Analysis for Wireline and Radio Communication Channels. Symbol Synchronization. 8. Digital Transmission through Bandlimited AWGN Channels. Digital Transmission through Bandlimited Channels. The Power Spectrum of Digitally Modulated Signals. Signal Design for Bandlimited Channels. Probability of Error in Detection of Digital PAM. Digitally Modulated Signals with Memory. System Design in the Presence of Channel Distortion. Multicarrier Modulation and OFDM. 9. Channel Capacity and Coding. Modeling of Communication Channels. Channel Capacity. Bounds on Communication. Coding for Reliable Communication. Linear Block Codes. Cyclic Codes. Convolutional Codes. Complex Codes Based on Combination of Simple Codes. Coding for Bandwidth Constrained Channels. Practical Applications of Coding. 10. Wireless Communications. Digital Transmission on Fading Multipath Channels. Continuous Carrier Phase Modulation. Spread Spectrum Communication Systems. Digital Cellular Communication Systems. Appendix A: The Probability of Error for Multichannel Reception of Binary Signals. References. Index.
author_names: John G Proakis

Masoud Salehi
title: Communication Systems Engineering
year: 1994

abstract: This best selling, easy to read book offers the most complete discussion on the theories and principles behind today's most advanced communications systems. Throughout, Haykin emphasizes the statistical underpinnings of communication theory in a complete and detailed manner. Readers are guided though topics ranging from pulse modulation and passband digital transmission to random processes and error control coding. The fifth edition has also been revised to include an extensive treatment of digital communications.
author_names: Simon Haykin
title: Communication Systems
year: 1978

abstract: The drive for higher performance in optical fiber systems has renewed interest in coherent detection. We review detection methods, including noncoherent, differentially coherent, and coherent detection, as well as a hybrid method. We compare modulation methods encoding information in various degrees of freedom (DOF) Polarization multiplexed quadrature amplitude modulation maximizes spectral efficiency and power efficiency, by utilizing all four available DOF, the two field quadratures in the two polarizations. Dual polarization homodyne or heterodyne downconversion are linear processes that can fully recover the received signal field in these four DOF. When downconverted signals are sampled at the Nyquist rate, compensation of transmission impairments can be performed using digital signal processing (DSP) Linear impairments, including chromatic dispersion and polarization mode dispersion, can be compensated quasi exactly using finite impulse response filters. Some nonlinear impairments, such as intra channel four wave mixing and nonlinear phase noise, can be compensated partially. Carrier phase recovery can be performed using feedforward methods, even when phase locked loops may fail due to delay constraints. DSP based compensation enables a receiver to adapt to time varying impairments, and facilitates use of advanced forward error correction codes. We discuss both single and multi carrier system implementations. For a given modulation format, using coherent detection, they offer fundamentally the same spectral efficiency and power efficiency, but may differ in practice, because of different impairments and implementation details. With anticipated advances in analog to digital converters and integrated circuit technology, DSP based coherent receivers at bit rates up to 100 Gbit/s should become practical within the next few years.
author_names: Ezra Ip

Alan Pak Tao Lau

Daniel J F Barros

Joseph M Kahn
title: Coherent detection in optical fiber systems.
venue: Optics express
year: 2008