By Ivan Djordjevic
Coding for Optical Channels
In order to evolve to the ever-increasing calls for for high-speed transmission and distance-independent connectivity, today’s community operators are enforcing a hundred Gb/s in keeping with dense wavelength department multiplexing (DWDM) channel. At these info charges, the functionality of fiber-optic conversation platforms is degraded considerably as a result of intra- and inter-channel fiber nonlinearities, polarization-mode dispersion (PMD), and chromatic dispersion. with the intention to care for those channel impairments, novel complex recommendations in modulation, detection, coding and sign processing are wanted.
This groundbreaking ebook represents a coherent and accomplished creation to the basics of optical communications, electronic sign processing (DSP), and coding for optical channels. This book:
- Is the 1st to combine the basics of coding idea and DSP with the basics of optical communication;
- Provides designated insurance of joint coding and modulation for optical communications;
- Presents faster equalization for joint iterative channel equalization and smooth deciphering on optical channels;
- Provides in-depth assurance of codes on graphs, together with LDPC and faster codes, and describes their software to optical channels;
- Includes insurance of either fiber-optics and free-space optical (FSO) channels;
- Is the 1st to hide the channel means of fiber-optic verbal exchange systems;
- Is the 1st to explain limited coding for optical channels.
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Additional resources for Coding for Optical Channels
17) In order to evaluate the transmission characteristics of the optical fiber, the functional dependence of the mode propagation constant on the optical signal wavelength has to be known. 19) The multimode dispersion can effectively be eliminated by limiting the number of propagating modes to a fundamental one: V Ä Vc D 2:405 with Vc being the cutoff frequency. 3%. 4 Optical Amplifiers The purpose of an optical amplifier is to restore the signal power level, reduced due to losses during propagation, without any optical to electrical conversion.
A constrained encoder translates an arbitrary user bit stream into a bit stream that satisfies the constraints of the channel. In this chapter we describe (1) time-domain constraints, such as runlength constraints, special forbidden pattern, distance enhancing codes, and self-synchronized codes; (2) spectral constraints, such as DC free constraint, spectral null constraint, higher order spectral zeros, and discrete spectral components; and (3) composite constraints. We further describe the ghost-pulse-constrained codes suitable to deal with intrachannel nonlinearities.
In Chap. 10, we describe how to determine the channel capacity under different scenarios. The channel capacity evaluation of both single-carrier and multicarrier (in particular OFDM) is described. We describe how to determine the channel 22 1 Introduction capacity when the nonlinear interaction of Kerr nonlinearities and ASE noise is taken into account. The channel capacity of hybrid optical-wireless communication systems is addressed as well. In Chap. 11, we illustrate and emphasize why coding for optical channels is a vibrant and fast progressing field that provides great potentials for both practical development and research endeavor in the field of optical communications.