基于声震信号的低空无人机探测定位系统设计

打开文本图片集

中图分类号：TB9；S126 文献标志码：A 文章编号：1674-5124（2025）11-0118-10

Abstract： The detection and positioning of low altitude UAV（unmanned aerial vehicle） is an important part of batlefield situational awarenessand an urgent problem that needs to be solved.This article uses sound and vibration sensors to design a low altitude unmanned aerial vehicle detection and positioning system with a six element stereo array structure. The detection and recognition of low altitude unmanned aerial vehicles are achieved using a combination of Mel spectrogram and support vector machine. The stereo positioning of low altitude unmanned aerial vehicles is also achieved using a six element stereo arry structure and a time diference of arrival （TDOA） method.The detection and recognition accuracy of unmanned aerial vehicles can reach 88.89% ，which can meet basic detection requirements.This article effectively verifies the system's functionality and performance from both simulation and experimental aspects， proving the rationality of the structural design and the feasibilityof the positioning method.The designed system has basic low altitude drone orientation function and can determine the direction of the drone.It is expected to play a certain role in the field ofbattlefield situational awareness.

0 引言

战场态势感知在现代战争中至关重要，尤其是在动态战场环境中，对移动目标信息的感知成为关键。（剩余12014字）