An improved LS channel estimation algorithm for aeronautical mobile communications systems

In this paper, we propose an improved least square(LS) channel estimation algorithm for the aeronautic broadband mobile communication system due to the complication and fast-variation characteristics of its channel. The algorithm reduces the noise and improves the accuracy of channel estimation by dynamically adapting the number of zero-forcing noise coefficients in the channel coefficients estimated by a method based on QR decomposition. Simulation results show that the bit error rate(BER) performance of the proposed algorithm is much better than that of the LS channel estimation, and the mean square error(MSE) performance of the proposed algorithm is improved by one fourth of that of the LS method.