
Experimental research of drone monitoring using multi‐static passive radar
Author(s) -
Lü Min,
Yi Jianxin,
Wan Xianrong,
Liu Yuqi
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0580
Subject(s) - drone , computer science , radar , tracking (education) , real time computing , tracking system , aeronautics , engineering , artificial intelligence , telecommunications , psychology , pedagogy , genetics , biology , kalman filter
The rapid development of the drone poses potential dangers and challenges for air traffic safety. The reliable monitoring of the drones has attracted much attention around the world in recent years. This study investigates the feasibility and practicability of the multi‐static passive radar (MPR) system for the drone monitoring. The authors conduct a series of drone‐monitoring experiments using a digital‐television‐based MPR system developed in Wuhan University. The typical experimental results of the drone detection and tracking are discussed in this study in detail. The agreement is achieved between the experimental results and the ground truth from the global position system of the drones. It demonstrates advantages and prospects of the drone monitoring by the MPR system.