Optical Signal Processing By Silicon Photonics

The main objective of this book is to make respective graduate students understand the nonlinear effects inside SOI waveguide and possible applications of SOI waveguides in this emerging research area of optical fibre communication. This book focuses on achieving successful optical frequency shifting by Four Wave Mixing (FWM) in silicon-on-insulator (SOI) waveguide by exploiting a nonlinear phenomenon.

Processing of high-speed data using optical signals is a promising approach for tackling the bandwidth and speed challenges of today's electronics. Realization of complex optical signal processing functionalities seems more possible than any time before, thanks to the recent achievements in silicon photonics towards large-scale photonic integration. In this Ph. D. work, a novel thermal reconfiguration technology is proposed and experimentally demonstrated for silicon photonics that is compact, low-loss, low-power, fast, with a large tuning-range. These properties are all required for large-scale optical signal processing and had not been simultaneously achieved in a single device technology prior to this work. This device technology is applied to a new class of resonator-based devices for reconfigurable nonlinear optical signal processing. For the first time, we have demonstrated the possibility of resonance wavelength tuning of individual resonances and their coupling coefficients. Using this new device concept, we have demonstrated tunable wavelength-conversion through four-wave mixing in a resonator-based silicon device for the first time.

This Spotlight reviews the recent progress in chip-scale optical signal processing based on silicon photonics platforms. Topics include wavelength conversion and signal regeneration based on degenerate four-wave mixing (FWM) in a silicon waveguide; two types of wavelength conversion via amplitude modulation; four-level pulse amplitude modulation (PAM-4) signal regeneration; high-speed optical binary logic and high-base computing; and hybrid computing functions. The book describes how to implement an optical data exchange based on the parametric depletion effect of a non-degenerate FWM process. The role of resonant structures and graphene in silicon waveguide devices to enhance nonlinear interactions is also discussed.

This book focuses on recent research and developments on optical communications. The chapters present different aspects of optical communication systems, comprising high capacity transmission over long distances, coherent and intensity modulated technologies, orthogonal frequency-division multiplexing, ultrafast switching techniques, and photonic integrated devices. Digital signal processing and error correction techniques are also addressed. The content is of interest to graduate students and researchers in optical communications.

This Second Edition of "Photonic Signal Processing" updates most recent R&D on processing techniques of signals in photonic domain from the fundamentals given in its first edition. Several modern techniques in Photonic Signal Processing (PSP) are described: Graphical signal flow technique to simplify the analysis of the photonic transfer functions, plus its insights into the physical phenomena of such processors. The resonance and interference of optical fields are presented by the poles and zeros of the optical circuits, respectively. Detailed design procedures for fixed and tunable optical filters. These filters, "brick-wall-like", now play a highly important role in ultra-broadband (100GBaud) to spectral shaping of sinc temporal response so as to generate truly Nyquist sampler of the received eye diagrams 3-D PSP allows multi-dimensional processing for highly complex optical signals Photonic differentiators and integrators for dark soliton generations. Optical dispersion compensating processors for ultra-long haul optical transmission systems. Some optical devices essentials for PSP. Many detailed PSP techniques are given in the chapters of this Second Edition.

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.

A comprehensive presentation of the theory and simulation of optical waveguides and wave propagations in a guided environment, Guided Wave Photonics: Fundamentals and Applications with MATLAB supplies fundamental and advanced understanding of integrated optical devices that are currently employed in modern optical fiber communications systems and p

"This thesis concerns all-optical signal processing and microwave photonics techniques basedon integrated silicon photonics devices. Firstly, we have designed and characterized a typeof integrated 2R regenerator for restoring 10 Gb/s on-off keying signals in simulation, withprospect for simultaneous multi-channel 2R regeneration for even higher speed. Furthermore,we demonstrate photonic generation of chirped microwave pulses using an integratedsilicon distributed Fabry-Pérot cavity as a spectral shaper, with the possibility of a ultimate'blackbox' solution. This two demonstrations investigate in scaling up the integrationlevel of silicon device so as to escalate the usabilities and functionalities of all-optical signalprocessing and microwave photonic subsystems. Secondly, we have designed and fabricateda mode-selective nonlinear silicon device and proposed a method of harnessing nonlinearoptical effects in a mode-selective manner to realize simultaneous multi-channel broadbandwavelength conversion and signal regeneration for 10 Gb/s OOK signals. Using the sametechnique, we succeed in demonstrating simultaneous multi-channel RF spectrum analyzerfor 640 GHz and 160 GHz optical waveforms in a single multi-mode waveguide. We believethat the method of harnessing nonlinear optics in a mode-selective manner has potentialto scale to a higher number of channels and opens up a new degree of freedom in realizingvarious multi-channel all-optical signal processing and microwave photonics functionalitiesin an integrated photonic device." --