The invention relates to an
optical fiber guidance unmanned aerial vehicle sound
source localization method and
system based on multi-mode voiceprint
feature fusion. The method comprises the following steps that multi-channel sound source signals are collected through an
MEMS microphone array; performing dual-channel filtering on the acquired multi-channel sound source
signal, performing time-frequency
feature extraction through a
mechanical vibration channel, and performing frequency-domain
feature extraction through an aerodynamic
noise channel; calculating a direction-of-arrival matrix based on the multi-channel sound source signals to obtain
spatial domain features; constructing a time-frequency-space three-dimensional feature
tensor based on the extracted time-frequency features, frequency-domain features and space-domain features, performing identification through a deep residual network, and judging whether a sound source
signal is emitted by the unmanned aerial vehicle; and if yes, obtaining the three-dimensional coordinates of the unmanned aerial vehicle through a positioning
algorithm. The sound source is recognized based on multi-mode fusion voiceprint
feature fusion, and high-precision recognition and positioning of the
optical fiber guidance unmanned aerial vehicle are achieved.