Performance Simulation Comparison of SER in OFDM Systems Based on LS and LMS Channel Estimation

In this paper, we conduct a simulation-based comparison of the Symbol Error Rate (SER) performance for OFDM systems utilizing LS (Least Squares) and LMS (Least Mean Square) channel estimation methods. We provide a detailed explanation of OFDM system fundamentals along with the operational principles of both LS and LMS channel estimation algorithms. The implementation typically involves generating pilot symbols, applying channel effects, and computing estimates using LS matrix inversion or LMS adaptive filtering with step-size parameter adjustment. Through simulation experiments, we evaluate the performance characteristics of these two channel estimation approaches in OFDM systems. Our investigation considers various channel conditions (including AWGN and multipath fading scenarios) and different modulation schemes (such as QPSK, 16-QAM). The simulation code would incorporate channel modeling, estimation algorithm implementation, and SER calculation modules to analyze how these factors impact SER performance. Based on these comparative simulations, we draw conclusions and propose recommendations for enhancing OFDM system performance. The simulation framework would typically include parameter configuration blocks, channel estimation functions, and performance metric calculators. These research findings provide valuable reference information for the design and optimization of OFDM systems, particularly in algorithm selection and parameter tuning for practical implementations.