Optimum Receiver Filters for Optical Fiber Systems With Polarization Mode Dispersion

Lima, Ivan T.; Oliveira, Aurenice M.

doi:10.1109/jlt.2009.2018484

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…(10) and Eq.(13). Using the Gaussian approximation for each bit of a sufficiently long bit string enables the BER to be accurately calculated by [Lima Jr. & Oliveira, 2009] The instantaneous variance of the electric current in the receiver is given by,…”

Section: Modelling Systems With Significant Intra-channel Pmdmentioning

confidence: 99%

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Accurate Receiver Model for Optical Fiber Systems with Polarization Induced Performance Degradation

Oliveira¹

2012

Optical Fiber Communications and Devices

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Section: Modelling Systems With Significant Intra-channel Pmdmentioning

confidence: 99%

“…(21) were computed as in Section 2. Because intra-channel PMD depolarizes the signal, the signalnoise beating must be computed using any two orthogonal decomposition of the Jones vector of the signal, which for unpolarized signal is given by [Lima Jr. & Oliveira, 2009 …”

Section: Modelling Systems With Significant Intra-channel Pmdmentioning

confidence: 99%

Accurate Receiver Model for Optical Fiber Systems with Polarization Induced Performance Degradation

Oliveira¹

2012

Optical Fiber Communications and Devices

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“…( 13). Using the Gaussian approximation for each bit of a sufficiently long bit string enables the BER to be accurately calculated by [Lima Jr. & Oliveira, 2009] ( ) The first two terms in the right-hand-side of Eq. ( 21) are the signal-noise beating, and the noise-noise beating, respectively, the third term is due to the electrical noise in the receiver.…”

Section: Modelling Systems With Significant Intra-channel Pmdmentioning

confidence: 99%

Optical Fiber Communications and Devices

Yasin¹,

Harun²,

Arof³

2012

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Since 1970, optical fiber and optical communication technologies have been rapidly developing, causing a technology revolution in the communication industries. Due to much lower attenuation and interference, optical fiber has many advantages over existing copper wire in long-distance and high-demand applications. The revolution in communication industries also significantly reduces the prices of optical components and stimulates the development of optical fiber sensors. This book is aimed at providing extensive overviews of the theoretical and experimental aspects of the current optical communication technologies as well as fiber optic devices. Chapter 1 describes a multilevel transmission technique based on optical amplitude multiplexing (OAM). Fiber nonlinear effects are used to perform OAM of binary signals into multi-amplitude signals. Recently, passive optical networks (PONs) have gained a lot of interest because they minimize the number of required optical transceivers, reduce the fiber optic infrastructure, and the need to power the intermediate network nodes. They are very suitable for fiber to home (FTTH) networks that support high speed internet and video on demand services. Chapter 2 describes several commercial applications for multimode PON structures designed and constructed to include N-equivalent nodes. Chapter 3 reviews the effects of dispersion in fiber on Course WDM (CWDM) directly modulated system performance. The performance of fibers relative to positive or negative dispersion characteristics is discussed for the case of directly modulated lasers. The effects of chirp and fiber nonlinearity in a directly modulated 2.5-Gb/s transmission system are also shown by simulation. It is observed that enhanced system performance, which uses a positive dispersion fiber, can be achieved if positive chromatic dispersion in the optical fiber is equalized by SPM, whereas laser transient chirp can be compensated using a negative dispersion fiber.Chapter 4 reviews the design and application of X-ray lenses in the form of glass capillary filled by a set of concave epoxy micro-lenses. The fabrication and testing of compound refractive lenses (CRL) composed of micro-bubbles embedded in epoxy are discussed. The micro-bubble technique opens a new opportunity for designing lenses in the 8-9 keV range with focal lengths less than 30-40 mm. Chapter 5 demonstrates that direct detection CoWDM with Erbium-doped fiber amplifier (EDFA) amplification is only suitable for Terabit Ethernet transport over unrepeated spans of up to ~130 km. Raman amplification would allow for an increased system margin, Preface XI optic displacement sensor (FODS), lifetime measurements, microfiber loop resonator (MLR), and stimulated brillouin scattering.

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Performance characterization of multicanonical Monte Carlo method applied to polarization mode dispersion

2014

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The numerical accuracy of the results obtained using the multicanonical Monte Carlo (MMC) algorithm is strongly dependent on the choice of the step size, which is the range of the MMC perturbation from one sample to the next. The proper choice of the MMC step size leads to much faster statistical convergence of the algorithm for the calculation of rare events. One relevant application of this method is the calculation of the probability of the bins in the tail of the discretized probability density function of the differential group delay between the principal states of polarization due to polarization mode dispersion. We observed that the optimum MMC performance is strongly correlated with the inflection point of the actual transition rate from one bin to the next. We also observed that the optimum step size does not correspond to any specific value of the acceptance rate of the transitions in MMC. The results of this study can be applied to the improvement of the performance of MMC applied to the calculation of other rare events of interest in optical communications, such as the bit error ratio and pattern dependence in optical fiber systems with coherent receivers.

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Optimum Receiver Filters for Optical Fiber Systems With Polarization Mode Dispersion

Cited by 3 publications

References 16 publications

Accurate Receiver Model for Optical Fiber Systems with Polarization Induced Performance Degradation

Accurate Receiver Model for Optical Fiber Systems with Polarization Induced Performance Degradation

Optical Fiber Communications and Devices

Performance characterization of multicanonical Monte Carlo method applied to polarization mode dispersion

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