Dissertation > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Communication theory > Channel equalization

Research and Design of Electronic Equalization Based on Most Likelihood Sequence Estimation

Author JuPeiJian
Tutor LeiZuoMing
School Huazhong University of Science and Technology
Course Software Engineering
Keywords Electronic dispersion compensation Digital Signal Processing Balanced Maximum likelihood sequence estimation Channel estimation Fast Fourier Transform Viterbi algorithm
CLC TN911.5
Type Master's thesis
Year 2011
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Optical fiber communication systems because of its large capacity, a high rate of advantages has gradually become the most important part of the information transmission network . With the increase in the transmission speed , the low speed is not very serious dispersion problem is gradually revealed. Of 10Gb / s optical fiber and the device has been widely used , the full replacement of 40Gb / s or higher rates of fiber and the device is not economical. In order to improve equipment utilization , balancing technology gradually attracted people's attention . With respect to the optical signal equalizer , based on the electric field of the signal processing of the electrical domain equalization method is more economical easily achieved, but also a relatively high degree of automation . And balanced mainstream algorithm of the digital electric signal in the electrical domain equalization processing methods - the maximum likelihood sequence estimation, has been considered theoretically best balanced manner . Maximum likelihood sequence estimation the equalization method consists of two main modules : channel estimation module and Viterbi equalization module . Channel estimated module aims to channel to establish the mathematical model and simulation of digital signal on channel distortion process ; Witte than balancing module according to the channel estimated module to establish the mathematical model , the maximum likelihood estimate of the distortion sequence with the Viterbi algorithm restore the greatest degree of distortion data . This paper studies two different channel modeling model - probability model and finite impulse response filter model . Probability model, we use non-parametric modeling methods , modeling of different rate Fibre Channel ; finite impulse response filter model , this paper presents a channel estimation method based on a simplified fast Fourier transform . Secondly, this study achieved a conversion of the Viterbi algorithm , and two above channel estimation algorithm The Viterbi algorithm structures together to form two maximum likelihood sequence estimation equalizer . Through different simulation software to build an integrated simulation system to simulate these two equalizers and comparative analysis . Comprehensive simulation channel fast Fourier transform In this paper, based on a simplified the estimated equalizer outperforms the probabilistic model algorithm improved by an order of magnitude , and the computation time .

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