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Reduced Complexity MLSE Algorithm Based on BDFE in Optical Fiber Communication System
Author: PengZhan
Tutor: LeiZuoMing
School: Huazhong University of Science and Technology
Course: IC
Keywords: Optical fiber communication Dispersion effect Equalizer Bidirectional decision feedback Maximum likelihood sequence estimation
CLC: TN929.11
Type: Master's thesis
Year: 2011
Downloads: 10
Quote: 0
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Abstract
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In high-speed optical fiber communication systems , dispersion transmission capacity constraints . Dispersion effect will cause the pulse expansion , and eventually lead to the increase of inter-symbol interference , bit error rate and reduce transmission performance of the system . Dynamic compensation is difficult due to the high cost of traditional optical domain dispersion compensation and other defects , urgently need to explore new ways of compensation . With the integrated circuit cost reduction and continuous improvement of the electrical signal processing capabilities , electronic dispersion compensation has become a hot research direction . The maximum likelihood sequence estimation (MLSE) equalizer is the best balanced performance electronic dispersion compensation equalizer structure , but is limited by the complexity of the algorithm has been unable to be widely used . Around balanced performance and reduce the complexity of the algorithm 's core purpose expand : first introduced the principle of optical fiber communication system structure , as well as the dispersion effect and impact , and then analyze the advantages of the general structure of the electronic dispersion compensation and with respect to the optical domain dispersion compensation , which focused analysis the equalizer module in the electronic dispersion compensation module , including the principle and function , then introduces several typical electronic dispersion compensation principle and structure of the equalizer , mainly including the linear equalization device ( FFE ) and decision feedback equalizer (DFE) and maximum likelihood sequence estimation equalizer (MLSE), and compare the equalization performance and complexity of the equalizer , the final structure of the time to flip the DFE structure and bidirectional decision equalizer (BDFE) simulation and the BDFE with MLSE into a new equilibrium structure , using BDFE structure is simple and MLSE equalization performance , to ensure that the new equilibrium structure under the premise of ensuring balanced performance and reduce the complexity of MLSE algorithm , and verified by simulation . .
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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Lightwave communications, laser communications > Optical fiber communication
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