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Super-resolution direction-of-arrival estimation method for unmanned aerial vehicle group

A technology of direction of arrival estimation and direction of arrival, which is applied in radio wave measurement systems, instruments, etc., can solve the problems of limited wide application, high computational complexity, and sensitive signal-to-noise ratio, so as to achieve coherent accumulation and low computational cost. Complexity, the effect of increasing resolution

Active Publication Date: 2021-02-09
XIDIAN UNIV
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Problems solved by technology

However, this method is sensitive to signal-to-noise ratio and has high computational complexity, which limits its wide application.

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  • Super-resolution direction-of-arrival estimation method for unmanned aerial vehicle group
  • Super-resolution direction-of-arrival estimation method for unmanned aerial vehicle group
  • Super-resolution direction-of-arrival estimation method for unmanned aerial vehicle group

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[0031] The specific embodiments and effects of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0032] refer to figure 1 , the present invention realizes steps as follows:

[0033] Step 1, according to the radar echo signal, obtain the rough direction of arrival θ of the UAV group 0 and the preprocessed signal y(n,l) containing the target.

[0034] (1.1) Perform beamforming, pulse compression, pulse-to-pulse accumulation, constant false alarm detection, and sum-difference beams sequentially on the UAV swarm echo signals containing Q UAVs with the same distance and speed and the angular difference is smaller than the angular resolution of the system Obtain the rough direction of arrival θ of the UAV swarm by measuring the angle 0 ;

[0035] (1.2) Perform beamforming, pulse compression, pulse-to-pulse accumulation, constant false alarm detection, target distance unit extraction, and inverse transformation in the...

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Abstract

The invention discloses a rapid and robust super-resolution direction-of-arrival estimation method for an unmanned aerial vehicle group, and mainly solves the problems that an existing super-resolution direction-of-arrival estimation method is high in operation complexity and sensitive to a low signal-to-noise ratio. The scheme comprises the steps of preprocessing an echo signal to obtain the rough direction-of-arrival of the unmanned aerial vehicle group; performing fast Fourier transform on the preprocessed echo data; comparing the modulus values of each row in the echo data after the fast Fourier transform, and extracting a column containing most information according to the position of the maximum modulus value of each row; constructing a weighted atomic norm minimization plan with prior information constraints according to the rough direction-of-arrival and the column containing most information, and solving the plan to obtain an optimal value; carrying out Van der Monde decomposition on the optimal value to obtain a frequency corresponding to the direction-of-arrival; and calculating the direction-of-arrival of the unmanned aerial vehicle group according to the frequency corresponding to the direction-of-arrival. According to the method, the robustness of DOA estimation is enhanced, the operation complexity is reduced. The method can be used for accurate detection of theunmanned aerial vehicle.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a method for estimating a direction of arrival, which can be used for precise detection and track tracking of unmanned aerial vehicles. Background technique [0002] UAVs are widely used because of their low cost, high flexibility and high convenience. At the same time, due to the development of communication technology and control technology, it is possible to replace a single drone with a group of drones. UAV swarms have many advantages, such as division of labor and swarm intelligence. In recent years, there have been frequent reports on the illegal use of drones, such as disrupting the normal take-off and landing order of civil aviation airports and illegally filming large-scale important events. In these scenarios, lawbreakers may use drone swarms for multiple sorties. Therefore, it is necessary to use radar to accurately detect drone swarms to ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41
CPCG01S7/41Y02T10/40
Inventor 郑纪彬杨天园苏涛
Owner XIDIAN UNIV
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