Implementation and BER Analysis of Linear Equalization, Decision Feedback Equalization, and Maximum Likelihood Sequence Estimation

In this article, we explore three distinct methodologies for implementing Linear Equalization (LE), Decision Feedback Equalization (DFE), and Maximum Likelihood Sequence Estimation (MLSE), along with detailed Bit Error Rate (BER) analysis for each technique. We provide comprehensive explanations of each method's advantages and limitations, along with their practical applications in various scenarios. The implementation discussion includes key algorithmic considerations such as tap weight calculation using LMS/RLS algorithms for LE, feedback filter structures for DFE, and Viterbi algorithm implementation for MLSE with path metric computations. Additionally, we examine the historical development and evolution of these equalization methods and their critical importance in modern communication systems. Through this article, you will gain deeper insights into the operational principles and practical implementations of these equalization techniques, along with thorough understanding of their BER performance characteristics under different channel conditions.