A Downlink Channel Estimation Method in UAV Communication

Abstract

The invention discloses a downlink channel estimation method in unmanned aerial vehicle communication, comprising the following steps: inserting a pilot signal, and obtaining the channel frequency response of the pilot frequency position of the unmanned aerial vehicle communication according to the pilot signals at both ends of the unmanned aerial vehicle communication. ; According to the channel frequency response of the pilot signal and the pilot position, the long-short-term memory network is used to learn the channel time correlation characteristics of the unmanned aerial vehicle; according to the channel frequency response of the pilot signal and the pilot position, using The learned long-short-term memory network estimates the complete channel state information. The invention realizes the application of the long-short-term memory network to the field of channel estimation of the unmanned aerial vehicle, and can obtain good mean square error performance in the channel estimation, thereby improving the accuracy of the channel estimation of the unmanned aerial vehicle.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to a downlink channel estimation method in unmanned aerial vehicle communication. Background technique [0002] UAVs are widely used because of their flexible maneuverability and wide range of movement, and have attracted the attention of modern communication technology. In the new generation of mobile communication technology, UAVs will also become an important research object. Under the communication quality puts forward new requirements. [0003] The communication quality of wireless communication largely depends on the accuracy of channel estimation. Channel estimation is the process of estimating the model parameters of an assumed channel model from the received data. To improve the accuracy of channel estimation, an estimation algorithm that minimizes the estimation error is needed. In order to accurately restore the transmitted signal at the transmitting end ...

AI Technical Summary

Problems solved by technology

[0005] The present invention aims at the problem of insufficient channel estimation accuracy in UAV random high-mobility scenarios in the prior art, and provides a downlink channel estimation method in UAV communication. Using the long-short-term memory network in deep learning, the channel estimation method can Good mean square error performance is obtained in

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