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**Harvard**

Jin, Y. (2018) *Finite Precision Digital Signal Processing for Space Division Multiplexing*. Göteborg : Chalmers University of Technology

** BibTeX **

@mastersthesis{

Jin2018,

author={Jin, Yingshi},

title={Finite Precision Digital Signal Processing for Space Division Multiplexing},

abstract={Optical fibers are widely used for data transmission in modern data networks, but the development of fiber systems is approaching some fundamental limits in terms of data capacity. Space division multiplexing (SDM) can help to overcome some of these fundamental limits. The most scalable SDM approach is so-called modedivision multiplexing (MDM) in multi-mode fiber (MMF). In MDM, each mode in principle will propagate independently and can be easily separated at the receiver. However in a real system, small perturbations of the fiber, such as manufacturing imperfections, bends or vibrations will cause mixing between the modes. Therefore at the receiver, an adaptive equalizer is needed to separate the orthogonal states and recover the signals.<br><br> So far, most demonstrations have relied heavily on offline digital signal processing using floating point representation. To achieve the required high data rates, real systems would need to employ purpose designed application-specific integrated circuits (ASICs) with finite precision. The goal of this project is to investigate how limited fixed point precision affects the performance of constant modulus algorithm (CMA) equalizer for SDM data transmission.<br><br> In this report, we will introduce how to design and implement adaptive CMA equalizers, perform system simulations initially using floating point and then reducing its precision to fixed point to evaluate performance penalty. Evaluations will be done with 2x2 mode with two polarizations and 4x4 mode with four polarizations.},

publisher={Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola},

place={Göteborg},

year={2018},

keywords={CMA equalizer, adaptive FIR filter, digital signal processing (DSP), space division multiplexing (SDM), multiple-input multiple-output (MIMO), fixed point finite precision.},

note={67},

}

** RefWorks **

RT Generic

SR Electronic

ID 255732

A1 Jin, Yingshi

T1 Finite Precision Digital Signal Processing for Space Division Multiplexing

YR 2018

AB Optical fibers are widely used for data transmission in modern data networks, but the development of fiber systems is approaching some fundamental limits in terms of data capacity. Space division multiplexing (SDM) can help to overcome some of these fundamental limits. The most scalable SDM approach is so-called modedivision multiplexing (MDM) in multi-mode fiber (MMF). In MDM, each mode in principle will propagate independently and can be easily separated at the receiver. However in a real system, small perturbations of the fiber, such as manufacturing imperfections, bends or vibrations will cause mixing between the modes. Therefore at the receiver, an adaptive equalizer is needed to separate the orthogonal states and recover the signals.<br><br> So far, most demonstrations have relied heavily on offline digital signal processing using floating point representation. To achieve the required high data rates, real systems would need to employ purpose designed application-specific integrated circuits (ASICs) with finite precision. The goal of this project is to investigate how limited fixed point precision affects the performance of constant modulus algorithm (CMA) equalizer for SDM data transmission.<br><br> In this report, we will introduce how to design and implement adaptive CMA equalizers, perform system simulations initially using floating point and then reducing its precision to fixed point to evaluate performance penalty. Evaluations will be done with 2x2 mode with two polarizations and 4x4 mode with four polarizations.

PB Institutionen för data- och informationsteknik (Chalmers), Chalmers tekniska högskola,

LA eng

LK http://publications.lib.chalmers.se/records/fulltext/255732/255732.pdf

OL 30