Design and Research of Channel Estimation for OFDM Systems Based on BEM

Orthogonal Frequency Division Multiplexing (OFDM) is extensively employed due to its advantages in countering channel perturbations, such as multipath fading and frequency selective fading. Nevertheless, the intercarrier interference and sensitivity to synchronization error are the issues that OFDM technology has to confront and resolve. To achieve reliable communication, the accuracy of channel estimation is of particular significance. In this paper, the base extension model is utilized for channel estimation on the MATLAB platform. The Base Expansion Model (BEM) can capture the key characteristics of the channel with fewer parameters, thereby reducing the complexity and enhancing the accuracy of channel estimation. In the system simulation, the signal transmission effect of the current channel is evaluated by comparing the mean error variance and bit error rate under different SNR values. The performances of CE-CEM, P-CEM and GCE-BEM under LS, MMSE and LMMSE are compared, and the best performance of GCE-BEM under LMMSE is obtained, realizing accurate channel estimation.