DOA Estimation Using Amateur Drones Harmonic Acoustic Signals

被引：0
|
作者：
Yang, Chaoqun [1 ,2 ]
Wu, Zexian [2 ]
Chang, Xianyu [2 ]
Shi, Xiufang [2 ]
Wu, Junfeng [2 ]
Shi, Zhiguo [1 ,2 ]
机构：
[1] Zhejiang Univ, Coll Informat Sci & Elect Engn, Hangzhou, Zhejiang, Peoples R China
[2] Zhejiang Univ, State Key Lab Ind Control Technol, Hangzhou, Zhejiang, Peoples R China
来源：
2018 IEEE 10TH SENSOR ARRAY AND MULTICHANNEL SIGNAL PROCESSING WORKSHOP (SAM) | 2018年
关键词：
Amateur drones; direction-of-arrival estimation; harmonic model; multiple signal classification algorithm; SYSTEM; TECHNOLOGIES;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Drone localization plays an important role in anti-drone systems, which are designed for alleviating the threats brought by the illegal use of amateur drones. For the realization of drone localization, in this paper, we consider the problem of the direction-of-arrival (DOA) estimation of amateur drones. After formulating the acoustic signals of amateur drones by a harmonic model, we prove the validity of the multiple signal classification (MUSIC) algorithm under the harmonic model, and utilize it to estimate the DOAs of amateur drones. Further, we integrate this algorithm into a real-life drone tracking platform. Extensive field experimental results show that the drone tracking platform is capable of realizing the DOA estimation of an amateur drone with high accuracy.
引用
收藏
页码：587 / 591
页数：5
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