Method for Electronic Dispersion Equalizer Based on Maximum Likelihood Sequence Estimation (MLSE)

During signal transmission through communication channels, crosstalk interference frequently occurs. To overcome inter-symbol interference caused by various dispersion effects in optical fiber communications, the method of electronic dispersion equalizer based on Maximum Likelihood Sequence Estimation (MLSE) can be employed. This research specifically investigates MLSE-based equalizers implemented using the Viterbi algorithm, which operates by recursively calculating path metrics through a trellis diagram representing possible state transitions. Through MATLAB simulations that incorporate channel modeling and noise generation functions, we can observe significant improvements in performance metrics such as eye diagram opening and bit error rate reduction after MLSE implementation.

This method effectively enhances data transmission quality in optical fiber communication systems, improving signal reliability and stability. Our research findings demonstrate that MLSE equalizers perform exceptionally well in addressing channel crosstalk issues, providing strong support for further advancement in optical fiber communication technology. The MATLAB implementation typically involves functions for channel response estimation, branch metric calculation, and survivor path management within the Viterbi decoder structure.