Subject Area: COMMUNICATION SYSTEM ENGINEERING
This study investigates the performance and operation of the adaptive Decision-Feedback Equalizer (DFE) in wireless communication networks. The DFE is a nonlinear equalizer that combines a forward filter and a feedback filter to mitigate Inter-Symbol Interference (ISI). The study examines the components of the DFE, including the forward filter; tap weights, training mode, decision device, and error calculation, using Matlab simulation. The results show that the DFE effectively reduces ISI in frequency-selective channels without enhancing noise. The study also evaluates the impact of different step sizes and tap delays on the DFE's performance, highlighting the trade-off between convergence speed and accuracy. The findings contribute to the understanding of the DFE's role in improving signal quality and data transmission efficiency in wireless communication systems. Further research and optimization of the DFE parameters and system-level configurations are recommended to enhance its performance in practical applications.