%0 Journal Article
%A CHEN Bo
%A LE Honghao
%A XIE Bin
%T Improved linear minimum mean square error channel estimation algorithm based on orthogonal frequency division multiplexing
%D
%R 10.11772/j.issn.1001-9081.2015.11.3265
%J Journal of Computer Applications
%P 3265-3269
%V 35
%N 11
%X Traditional Linear Minimum Mean Square Error (LMMSE) channel estimation was required to know the statistical characteristics of the channel. However, these characteristics are usually unknown in practical applications. Aiming at the uncertainty of wireless channel statistics, taking the time-domin channel sparsity of the energy distribution into consideration, this article proposed an improved LMMSE channel estimation algorithm based on Least Squares (LS) estimation. The algorithm began with the highest confidence degree subcarrier, making the adjacent subcarrier channel estimation value as the current subcarrier real response to compute the weighting coefficient, then to complete channel response of the multiple channels by the method of weighted average. This algorithm avoided the complicated operation of the matrix inversion and decomposition, and might be done effectively and easily. The experimental results show that the performance of the improved algorithm is better than LS and the SVD-LMMSE (Singular Value Decomposition-Linear Minimum Mean Square Error) channel estimation, and the Bit Error Ratio (BER) is close to traditional LMMSE algorithm.
%U http://www.joca.cn/EN/10.11772/j.issn.1001-9081.2015.11.3265