Simple Simulation of OFDM Channel Estimation Using Least Squares Method

This simulation program demonstrates a basic OFDM channel estimation approach using the least squares method. The implementation involves collecting OFDM signals and known training sequences to construct the channel matrix. The core algorithm applies least squares estimation to compute the estimated channel matrix, which provides channel response estimates. These estimates can then be utilized for subsequent signal processing tasks such as signal demodulation or detection. The simulation offers researchers and engineers a practical tool to better understand and investigate OFDM channel estimation methods and techniques. Key implementation aspects include: constructing the observation matrix from received OFDM symbols, formulating the least squares problem using training sequences, and solving the normal equations to obtain channel estimates. The code typically involves matrix operations for efficient computation, with potential extensions to include noise variance estimation and performance metrics calculation.