A method for channel prediction of high-speed railway

Abstract

The invention discloses a channel prediction method for a high-speed railway. The method comprises steps: a distance in need of channel prediction is determined; according to the current train position and the distance in need of channel prediction, the position of the train in need of channel prediction is calculated; and according to the position of the train in need of channel prediction, corresponding channel data are searched in a radio frequency environment mapping database, wherein the radio frequency environment mapping database stores channel data for different positions in a high-speed railway line, and the channel data can be used for acquiring time delay of each path of a channel corresponding to a different position and channel gains. The above method further comprises a step in which weighted averaging is carried out on the searched channel data and channel data acquired through using a kalman filter or a prediction antenna, and the data after weighted averaging serve as new channel data. In the case of weighted averaging, the weight occupied by the searched channel data is larger than that occupied by the channel data acquired through using the kalman filter or the prediction antenna.

Description

technical field [0001] The present invention relates to wireless communication, and more particularly to communication signal processing. Background technique [0002] In the process of wireless communication, the wireless channel that the signal passes through has great randomness, so it is necessary to predict the influence of the wireless channel on the signal to ensure the quality of wireless communication. With the development of transportation methods, channel prediction in the wireless communication process of high-speed railway has become a difficult point. Usually, in order to meet the requirements of wireless communication in high-speed railways, a two-layer network model is adopted to avoid the energy loss of wireless signals when penetrating train carriages and solve the problem of group switching caused by traditional network architecture. The two-layer network model can be arranged as follows: a relay device is installed inside the train compartment to relay t...

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Problems solved by technology

However, since the position of the predicted antenna is difficult to flexibly change according to needs, it is difficult for the above method to achieve channel prediction for any distance

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