A UAV detection method based on voiceprint multi-harmonic recognition
A detection method and unmanned aerial vehicle technology, applied in the direction of measuring ultrasonic/sonic/infrasonic waves, measuring devices, instruments, etc., can solve the problems that are not suitable for analyzing dynamic harmonics, cannot handle non-stationary signals, etc., and achieve good detection results and detection Good effect, well-characterized effect
Active Publication Date: 2020-05-22
ZHEJIANG UNIV
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The disadvantage of this method is that it cannot deal with non-stationary signals, so it is not suitable for analyzing dynamic harmonics and abrupt signals, and in actual harmonic detection applications, harmonics are likely to change dynamically, and this method needs to be improved
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[0022] Control the DJI Phantom-4 quadrotor UAV to fly over the area where the cross-shaped sound array is located, run the Labview program on the computer, and collect sound signals through the microphone of the sound array. The sampling frequency is 5120HZ, and the distance between array elements is 0.17m. The number of elements is 3, and the number of target sources is 1. Under the current sampling frequency, the characteristic frequency range can be obtained: [140,200],[300,380],[470,550],[650,740]. (Unit: HZ).
[0023] The first seven alternate characteristic frequency intervals and non-characteristic frequency intervals [100,200][200,300][300,400][400,500][500,600][600,700][700,800]. (Unit: HZ). In this case of division, k generally ranges from 1 to 10, preferably 5.
[0024] Good detection results can be achieved within a range of 30m. figure 2 is the actual detection result diagram of the detection method of the present invention in the urban campus environment, wh...
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The invention discloses an unmanned plane detection method based on voiceprint multi-harmonic wave identification. A traditional harmonic wave detection method based on Fourier transform is established on a stationary signal hypothesis base for analysis, frequency domain characteristics are acquired by the time domain information of use signals, frequency, amplitude and phase of harmonic waves ofthe stationary signals can be accurately determined, disadvantages of the traditional harmonic wave detection method are that non-stationary signals can not be processed and the traditional harmonic wave detection method is not suitable for analyzing dynamic harmonic waves and abrupt change signals, and harmonic waves dynamically change in actual harmonic wave detection applications. The unmannedplane detection method is advantaged in that characteristic frequency is acquired through carrying out time frequency analysis on sound signals of target signal sources; according to the position of characteristic frequency in frequency spectrum, frequency band width is equally divided into characteristic frequency intervals and non-characteristic frequency intervals which are sequentially alternate, and the maximum energy value of each frequency interval is solved; based on the energy fluctuating relationship of the energy intervals, the relationship of the maximum energy values of the frequency intervals is taken as discrimination standards, and excellent detection performance can be realized.
Description
technical field [0001] The invention relates to the field of drone sound detection, in particular to a drone detection method based on voiceprint multi-harmonic recognition. Background technique [0002] General sound detection methods mainly include: (1) harmonic detection technology based on Fourier transform; (2) harmonic detection technology based on wavelet transform. Compared with the latter technology, the harmonic detection technology based on Fourier transform has low computational complexity, and can accurately determine the frequency, amplitude and phase of each harmonic in a stationary signal, and is widely used in harmonic detection . [0003] However, the traditional harmonic detection method based on Fourier transform is based on the assumption that the signal is stable for analysis, using the time domain information of the signal to obtain the frequency domain characteristics of the signal, and can accurately determine the harmonics in the stable signal. Th...
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IPC IPC(8): G01H17/00G06F17/14
Inventor 陈积明常先宇程翠杨超群史秀纺史治国
Owner ZHEJIANG UNIV