Semi-Blind Channel Estimation of MIMO-OFDM Systems Based on Improved PSO-Hopfield neural Network
Jie Hao · 2018
Channel estimation is the key part of the design of any receiver, this paper proposed a semi-blind channel estimation method of MIMO-OFDM systems based on improved Hopfield neural network. First, the proposed method improved the semi-blind cost function for neural network based on LS criterion and LMMSE criterion. Then, this paper proposed a new structure of Hopfield network to substitute the function iteration, and the improved PSO algorithm was also used to optimize the parameter of Hopfield network. Finally, The new estimation method was proposed to estimate the channel response. The comparison of channel estimation by the proposed method and RBF network were present, the results validated that the proposed method is feasible to estimate the channel response, and that the precision of estimation is improved, which will be useful for the future channel estimation of MIMO-OFDM systems.