Abstract
In order to adapt to the ever-increasing demands of telecommunication needs, the network operators already consider 100 Gb/s per dense wavelength division multiplexing (DWDM) channel transmission. At those data rates, the performance of fiber-optic communication systems is degraded significantly due to intra- and interchannel fiber nonlinearities, polarization mode dispersion (PMD), and chromatic dispersion [1–11]. In order to mitigate the signal distortions at ultra-high bit rates, some new technologies have been proposed and deployed in optical systems, and they represent a distinctive new trend in optical fiber communications. These new technologies include digital signal processing (DSP)-aided optical channel equalization, digital coherent receiving, multilevel modulations and optical polarization multiplexing (or optical multiple-input multiple-output technologies) [1–6]. To deal with chromatic dispersion and PMD a number of channel equalization techniques have been proposed recently including digital-filtering approach [1] and maximum likelihood sequence detection/estimation (MLSD/E) [2]. To simultaneously suppress chromatic dispersion and PMD, orthogonal frequency division multiplexing (OFDM) has been proposed [4, 5]. On the other hand, to deal with intrachannel nonlinearities someone may use either constrained coding [6].
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Notes
- 1.
A (w c, w r )-regular LDPC code is a linear block code whose H-matrix contains exactly w c 1’s in each column and exactly w r = w c n ∕ (n − k) 1’s in each column, where w c ≪ n − k.
- 2.
The Q-factor is defined as Q = (μ1 − μ0) ∕ (σ1 + σ0), where μ j and σ j (j = 0, 1) represent the mean and the standard deviation corresponding to the bits j = 0, 1.
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Djordjevic, I., Ryan, W., Vasic, B. (2010). Turbo Equalization in Fiber-Optics Communication Systems. In: Coding for Optical Channels. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-5569-2_7
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