Method for Electronic Dispersion Equalizer Based on Maximum Likelihood Sequence Estimation (MLSE)
Signal transmission through communication channels often suffers from crosstalk interference. This approach employs an electronic dispersion equalizer based on Maximum Likelihood Sequence Estimation (MLSE) to mitigate inter-symbol interference caused by various dispersion effects in optical fiber communications. The research focuses on MLSE-based equalizers implemented using the Viterbi algorithm, with MATLAB simulations demonstrating performance improvements in key metrics (eye diagrams and bit error rates) after MLSE implementation. The implementation involves creating probabilistic channel models and applying dynamic programming principles for optimal sequence detection.