Unmanned aerial vehicle sound signal enhancement method based on tetrahedron microphone array

Abstract

The present invention discloses an unmanned aerial vehicle sound signal enhancement method based on a tetrahedron microphone array. The method comprises the steps of: employing a minimum variance distortionless response (MVDR) method and feature frequencies of unmanned aerial vehicle sound signals to roughly estimate the direction of the unmanned aerial vehicle, employing array signal processing to inversely deduce the time delay between the microphones, then performing delay summation processing of original signals on a time domain through wave beams, performing weighing of multi-path signaldelays to the same time node, finally obtaining a set of signals to achieve an effect of unmanned aerial vehicle sound signal enhancement, and at the same time, employing the processing mentioned above for each array element of the tetrahedron to perform signal enhancement of all the microphones of the tetrahedron. The unmanned aerial vehicle sound signal enhancement method fully utilizes the information of each microphones of the tetrahedron to perform signal enhancement to obtain enhancement signals having the same quality as the receiving signals so as to greatly improve the signal to noiseratio of the receiving signals and have a high value for the sound array processing field.

Description

technical field [0001] The invention relates to the field of array signal enhancement, in particular to tetrahedral microphone array signal processing and delay-sum beamforming. Background technique [0002] The background of the present invention is based on actual needs. In recent years, when UAVs quickly became a research hotspot, it also brought a series of problems, such as UAV black flying, seriously affecting regional security. Therefore, drone defense is becoming a new area of ​​focus for governments and military forces. The sound of the drone has a distinctive signature that can effectively detect objects flying in the air. By setting up multiple microphone arrays, the signal of the UAV can be effectively collected, but the noise in the actual environment, the noise during the transmission of the signal in the circuit equipment, and some other reverberation, multipath interference, etc., the collected sound The signal is very noisy. Therefore, sound signal enhan...

AI Technical Summary

Problems solved by technology

[0003] In the current research content, most rely on the method of using priori signal correction to improve the accuracy of sound signal analysis, but the key to this method lies in the extraction of priori knowledge. Once the data at the previous moment is wrong, the entire follow-up Significant errors will occur in the analysis of signals. Therefore, a new method is urgently needed to truly improve the signal-to-noise ratio of effective signals, while ensuring faster operation speed and lower system cost.

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