Analysis on Mean Square Error of LS method based Channel Estimation for MIMO OFDM Systems

Abstract

Channel estimation is a mandate method for improving the performance of the orthogonal frequency division multiplexing (OFDM) system. The pilot-based least square (LS) scheme is for improving the accuracy while doing channel estimation and the symbol error rate (SER) to increase the performance of the wireless communication scenarios. Symbols are estimated with the initial channel information, and channel simulated estimation results can be obtained by linear interpolation. The minimum mean square error (MMSE) and linear minimum mean square error (LMMSE) algorithms are also compared with channel matrix. If the number of subcarriers increases, the dimension of the matrix becomes large. Therefore, we compute the Mean Square Error (MSE) of the LS channel estimated. Simulation shows provides a better performance of Bit Error Rate (BER).