MATLAB Implementation of OFDM Simulation with Channel Estimation

This MATLAB program implements OFDM (Orthogonal Frequency Division Multiplexing) simulation with channel estimation functionality and BER (Bit Error Rate) curve generation. The implementation includes a fundamental LMS channel estimation algorithm, which adaptively updates filter coefficients using gradient descent to track channel variations. However, the current version lacks comparative analysis with advanced channel estimation techniques such as MMSE estimation. In future research enhancements, developers could integrate additional channel estimation algorithms like MMSE, which provides optimal estimation performance by minimizing the mean square error between actual and estimated channel parameters. Comparative evaluations between LMS and MMSE methods could be implemented through parallel simulation runs with identical channel conditions, analyzing metrics like convergence speed, computational complexity, and estimation accuracy. Furthermore, the BER curve analysis could be extended to examine how different channel estimation algorithms perform under varying SNR (Signal-to-Noise Ratio) conditions. This would involve modifying the simulation to sweep through SNR ranges while recording BER performance for each estimation method. Such comprehensive analysis would provide deeper insights into the trade-offs between algorithm complexity and performance, leading to more robust evaluation of simulation results. The code structure could be organized with modular functions for channel estimation, OFDM modulation/demodulation, and performance metrics calculation to facilitate these extensions.