Dynamic Radar Networks of UAVs

Abstract

In the incoming years, the low-aerial space will be crowded by unmanned aerial vehicles (UAVs), which will be providing different services. In this expected context, an emerging problem is to detect and track unauthorized or malicious mini/micro UAVs. In contrast to current solutions mainly based on fixed terrestrial radars, this article will put forth the idea of a dynamic radar network (DRN) composed of UAVs able to smartly adapt their formation-navigation control to best track malicious UAVs in real-time, with high accuracy, and in a distributed fashion. To this end, some technological solutions and the main methods for target detection and tracking will be described. Further, an optimized navigation scheme will be developed according to an information-seeking approach. Some examples of simulation results and future directions of work will be finally presented highlighting the advantages of dynamic and reconfigurable networks over static ones.

References in corpus (2)

• Unmanned Aerial Vehicles: A Survey on Civil Applications and Key Research Challenges
• Non-Centralized Navigation for Source Localization by Cooperative UAVs

Cited by in corpus (5)

• Multi-UAV Collaborative Sensing and Communication: Joint Task Allocation and Power Optimization
• Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach
• Reinforcement Learning for UAV Autonomous Navigation, Mapping and Target Detection
• A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence
• Radar Information Theory for Joint Communication and Parameter Estimation with Passive Targets