Simulation Program for Signal Equalization Using Decision Feedback Equalizer

This simulation program utilizes a MATLAB-implemented Decision Feedback Equalizer (DFE) to perform signal equalization. The DFE operates through a feedforward filter that processes current and past input symbols, combined with a feedback filter that eliminates intersymbol interference from previously detected symbols. Core functions include adaptive filter coefficient updates using algorithms like LMS (Least Mean Squares) or RLS (Recursive Least Squares) for optimal tap weight adjustment. The simulation helps researchers understand equalization principles by visualizing constellation diagrams, bit error rate (BER) performance, and convergence behavior. By compensating for channel distortions, this equalization technique significantly improves signal quality and system reliability, making it valuable for studying digital communication systems. The code structure typically involves transmitter-channel model implementation, DFE initialization with configurable tap lengths, and real-time error calculation for adaptive filtering.