Unmanned aerial vehicle information monitoring method based on generalized tensor compression

Abstract

The invention discloses an unmanned aerial vehicle information monitoring method based on generalized tensor compression. The method comprises the following steps of 1, performing random initialization on a signal matrix and a channel matrix acquired by an unmanned aerial vehicle; 2, calculating least square method estimation of the Khatri-Rao product of the signal matrix and the coding matrix; 3, calculating a signal matrix by using inverse operation of the Khatri-Rao product; 4, solving a use-to-base-station channel matrix by using generalized expansion of the tensor of the received signal of the unmanned aerial vehicle and Khatri-Rao product inverse operation; 5, calculating least square method estimation of a channel matrix from the base station to the unmanned aerial vehicle; and 6, repeating the previous steps until the convergence condition is met, wherein the difference of the absolute values of the iterated cost function is smaller than the minimum value. According to the unmanned aerial vehicle information monitoring method based on generalized tensor compression, the use of a training sequence is effectively avoided, accurate information can be obtained, the convergence speed is high, and prior information is not needed.

Description

technical field [0001] The invention belongs to the field of information monitoring, and in particular relates to a method for monitoring information of an unmanned aerial vehicle based on generalized tensor compression. Background technique [0002] The application of information technology is playing an increasingly important role in the modern military field. As one of the key technologies of modern wireless communication, UAV plays an important role in military conflicts, especially in harsh battlefield environments. UAVs need to obtain information at high altitudes and complete massive image, video, remote sensing measurement data and other intelligence transmission tasks. It is very important to obtain accurate information in this process. Some information acquisition methods have been used to monitor information, such as time-varying Signal acquisition in fading channels requires training sequences, and semi-blind signal estimation algorithms require prior information...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a kind of UAV information monitoring method based on generalized tensor compression, to solve the problems such as training sequence and prior information required by relevant algorithms in the above-mentioned background technology

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