电子科技大学学报2025，Vol.54Issue(4)：546-553,8.DOI:10.12178/1001-0548.2024309
基于噪声指纹的无人机检测与识别
Drone detection and identification based on noise fingerprint
摘要
Abstract
With the rapid development of drone technology,its application areas are constantly expanding to military,civil and commercial fields.Drone identification systems play an important role in ensuring the legal flight of drones and resisting potential threats.However,the existing drone detection and identification schemes have shortcomings such as low accuracy,poor robustness,complex data processing and susceptibility to environmental influences when facing small,low-altitude,low-speed or hovering drones.Therefore,a drone detection and identification system based on drone noise fingerprint is proposed.In the data preprocessing stage,the system first removes the interference of environmental noise and performs data enhancement on the training audio data to enrich the diversity of the training data set and adapt to the noise characteristics of drones under different operating conditions.In the feature extraction module,the time-domain peak normalization algorithm and the feature vector rescaling algorithm are adopted to reduce the instability of features caused by changes in signal strength or distance during feature extraction,thereby enhancing the distance robustness of the system.Finally,the system constructs a new drone identification algorithm based on multiple k-nearest neighbor classifiers to realize the identification of drone models.Experimental results show that the system can accurately detect and identify drones under a variety of different environments and distance conditions.关键词
无人机检测/无人机识别/声纹提取/噪声识别/MFCC特征Key words
drone detection/drone identification/acoustic fingerprint/noise identification/MFCC features分类
信息技术与安全科学引用本文复制引用
刘涛,刘宇畅,刘昕卓,黄林..基于噪声指纹的无人机检测与识别[J].电子科技大学学报,2025,54(4):546-553,8.基金项目
国家重点研发计划(2022YFF0707904) （2022YFF0707904）
