Dynamic Radar Networks of UAVs: A Tutorial Overview and Tracking Performance Comparison With Terrestrial Radar Networks

被引:37
|
作者
Guerra, Anna [1 ,2 ]
Dardari, Davide [3 ,4 ]
Djuric, Petar M. [5 ]
机构
[1] Univ Bologna, H2020 European Framework, Bologna, Italy
[2] SUNY Stony Brook, Stony Brook, NY 11794 USA
[3] Univ Bologna, Bologna, Italy
[4] CNIT, Pisa, Italy
[5] SUNY Stony Brook, Dept Elect & Comp Engn, Stony Brook, NY 11794 USA
来源
IEEE VEHICULAR TECHNOLOGY MAGAZINE | 2020年 / 15卷 / 02期
基金
美国国家科学基金会;
关键词
Radar tracking; Target tracking; Sensors; Radar cross-sections; Navigation;
D O I
10.1109/MVT.2020.2979698
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
In the coming years, low aerial space will be crowded with unmanned aerial vehicles (UAVs) providing various services. In this context, an emerging problem is to detect and track unauthorized or malicious mini/microUAVs. In contrast to current solutions mainly based on fixed terrestrial radars, this tutorial puts forth the idea of a dynamic radar network (DRN) composed of UAVs able to smartly adapt their formation and navigation strategy to best track malicious UAVs in real time with high accuracy and in a distributed fashion. To this end, the main methods for target detection and tracking are described, and an optimized navigation scheme according to an information-seeking approach is developed. Further, some examples of simulation results and future directions of work are presented, highlighting the advantages of dynamic and reconfigurable networks over static ones.
引用
收藏
页码:113 / 120
页数:8
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