Direction of arrival estimation method based on adaptive rotation adjustment of unmanned aerial vehicle

Abstract

The invention discloses a direction of arrival estimation method based on self-adaptive rotation adjustment of an unmanned aerial vehicle, and the method comprises the steps: firstly, enabling the unmanned aerial vehicle to receive signals of multiple radiation sources, and carrying out the sampling of the signals; calculating a received signal covariance matrix, and estimating the direction of arrival by using a fast algorithm to obtain prior information of the direction of arrival; taking a Cramer-Rao bound diagonal element average value as a loss function, and solving a rotation angle enabling the loss function to be minimum as an optimal rotation angle; replacing the true value of the direction of arrival with the prior information of the direction of arrival, rotating the unmanned aerial vehicle according to the estimated value of the optimal rotation angle, and estimating the direction of arrival at the same position by using the fast algorithm again to obtain a final estimation result of the direction of arrival. According to the method, high-precision direction of arrival estimation can be kept under the condition of radiation of multiple signal sources, secondary loss of position information is reduced, and the precision of direction of arrival estimation is effectively improved; and optimization is carried out directly from the Cramer-Rao bound, so that the estimation performance of the direction of arrival is improved.

Description

technical field [0001] The invention relates to the technical field of passive positioning, and mainly relates to a direction-of-arrival estimation method based on self-adaptive rotation adjustment of an unmanned aerial vehicle. Background technique [0002] As the electromagnetic environment becomes more and more complex, various interference events occur frequently and become more and more frequent, which puts forward higher requirements for the timely location and elimination of interference sources. The current interference source monitoring platform is generally based on national ground monitoring stations for monitoring, which has disadvantages such as poor positioning accuracy, high labor costs, and inability to locate in time. Compared with ground monitoring platforms, UAVs have the advantages of less interference from ground clutter, weak multipath effects, strong flexibility, low labor costs, and wide monitoring range, and have become a research hotspot in recent y...

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Problems solved by technology

[0004] Purpose of the invention: Aiming at the problems existing in the prior art, the present invention provides a method for estimating the direction of arrival based on the adaptive rotation adjustment of the UAV, which solves the problem of locking the lower bound of the performance of the traditional direction of arrival estimation algorithm. The machine adaptively adjusts the rotation to reduce the Cramer-Rao boundary, reduces the theoretical limit of the mean square error of the angle of arrival estimation, and only needs the second angle of arrival estimation to obtain a higher accuracy of the direction of arrival estimation, thereby improving the subsequent two. Step positioning accuracy, has important engineering application value

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