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Singular-vector-based multi-rotor unmanned aerial vehicle physical parameter extraction method

A technology of multi-rotor UAV and extraction method, which is applied in the field of physical parameter extraction of multi-rotor UAV based on singular vector, can solve the problem that the physical parameters of rotor speed and number of blades cannot be obtained, so as to improve the estimation accuracy and accuracy Effect of extracting and reducing noise intensity

Active Publication Date: 2021-01-01
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

The above methods can only extract the characteristic information related to the rotor speed and the number of blades, but cannot obtain specific physical parameters such as the rotor speed and the number of blades. Therefore, there is room for further improvement in the recognition performance of the existing methods

Method used

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  • Singular-vector-based multi-rotor unmanned aerial vehicle physical parameter extraction method

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Embodiment Construction

[0035] The practicability of the present invention is analyzed below in combination with simulation experiments.

[0036] Four types of UAVs were designed in the simulation experiment, including helicopter (single-axis) P-1, quadrotor UAV P-2, six-rotor UAV P-3, and octarotor UAV P-4. The simulation parameters are shown in Table 1. The simulated radar parameters include: the radar carrier frequency is 34.6GHz; the pulse repetition frequency is 125kHz; the distance between the target and the radar is 100m; the pitch angle of the radar is 20°, and the azimuth angle is 45°. The signal-to-noise ratio is 10dB. The observation time must be greater than two rotation periods of the rotor, and the radar dwell time is 0.1s.

[0037] Table 1. Parameter extraction results for four helicopters

[0038]

[0039]

[0040] It can be seen from the experiment that the estimation error of the physical parameters of the multi-rotor UAV by the method of physical parameter extraction is be...

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Abstract

The invention belongs to the technical field of unmanned aerial vehicle identification, and particularly relates to a singular-vector-based multi-rotor unmanned aerial vehicle physical parameter extraction method. The method comprises the following steps: firstly, performing wavelet decomposition on a radar echo signal of the multi-rotor unmanned aerial vehicle, extracting a low-frequency component generated by a blade rotating part, and then performing time-frequency analysis on the component to obtain a micro-Doppler spectrogram; and extracting physical parameters such as the rotating speedand the blade length of the rotor by using the singular vector corresponding to the maximum singular value of the micro Doppler frequency diagram. Physical parameters can be directly extracted in combination with left and right singular vectors, so that the estimation accuracy is improved, and accurate features are provided for recognition of the multi-rotor unmanned aerial vehicle. Besides, through wavelet analysis on echo data, the noise intensity in echo signals is reduced, and physical parameters such as the rotating speed and the blade length can still be accurately extracted under the condition of a low signal-to-noise ratio. A simulation experiment result verifies the effectiveness of the method.

Description

technical field [0001] The invention belongs to the technical field of UAV identification, and in particular relates to a method for extracting physical parameters of a multi-rotor UAV based on a singular vector. Background technique [0002] With the rapid development of UAV technology, UAVs have been widely used in military and civilian fields. For example, in civilian applications, UAVs are used for environmental monitoring, communication relay, and atmospheric sampling. Man-machines complete tasks such as reconnaissance, interference, and ground attack. At the same time, it also brings some new problems, such as drones illegally invading private areas, drones colliding with planes, terrorist attacks and other security issues, which have brought great troubles to the management of low-altitude areas and the safety of military and civilian flight. Therefore, it has very important application significance to quickly and effectively detect and accurately identify the type o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S13/58G01S13/02G01S13/10G01S7/41G01S7/292G06F17/14
CPCG01S13/581G01S13/02G01S7/418G01S13/10G01S7/292G06F17/148
Inventor 周代英李粮余张同梦雪胡晓龙
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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