Detection and Tracking of a UAV via Hough Transform

被引：0

作者：

Zhou, Chao ^{[1
]}

Liu, Yang ^{[1
]}

Song, Yuanyuan ^{[1
]}

机构：

[1] Beijing Inst Technol, Sch Informat & Elect, Key Lab Embedded Real Time Informat Proc Technol, Beijing, Peoples R China

来源：

2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR) | 2016年

关键词：

unmanned aerial vehicle; slow small and low targets; target tracking; Hough transform;

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：

Unmanned aerial vehicle (UAV) is a typical low altitude, slow and small (LSS) target. To detect and track this kind of target, a high resolution radar is usually used. In high resolution radar tracking algorithm, scatterers clustering is a key process which has a significant impact on the final performance. However, the lack of theoretical principle for clustering threshold has long been a problem. In this paper, a method based on Hough transform was proposed to improve the detection and tracking performance. By making use of the linear distributed micro Doppler features, the method is able to detect and recognize a UAV simultaneously, thus reduce the limitations on scatterers clustering. Experiment results show that the method can track a UAV continuously and steadily, and improve the tracking accuracy.

引用

页数：4