Unmanned Air Vehicles (UAVs), also known as drones, have become dominant recently in all fields including military, commercial, and other multiapplications, such as agriculture, search and rescue, infrastructures monitoring, and surveillance, especially for safety and security purposes. On one hand, deployment of UAVs has facilitated end-users and, on the other hand, this enormous increase in the usage of UAVs has raised many concerns with regard to security, harm, threats, and privacy issues by different agencies, governments, private organizations even by people in their residencies, which has stimulated and motivated many researchers toward the designing of anti-drone systems in order to be secure from such risks. The main objective of this chapter is to provide a comprehensive survey concerning the work carried out in the designing of an anti-drone system for detection, localization, and tracking using Radio Frequency (RF-) and WiFi-based techniques. In the category of drone detection, drone identification, and classification are also being explored. In more detail, this chapter will highlight the key factors of the surveyed techniques and the characteristics of such systems to deploy them, practically. Indeed, current studies provide systematic ways to understand the procedures, methods, tools, and techniques, as well as experimental setups, which have been carried out for the implementation of drone-surveillance systems. A comparison of the performance, found in the literature, of the designed systems in this field is presented and analyzed. Finally, open challenges, possible future research trends, and direction are highlighted in the context of drone detection, localization, and tracking systems. The presented survey chapter is aimed at providing a guide for the research community as it could be an ignition to work further with specific direction so making these crucial systems versatile and ready to be deployed practically to meet their potential market demand.
Drone surveillance system-RF/WiFi-based drone detection, localization, and tracking: A survey
Bisio I.;Garibotto C.;Haleem H.;Lavagetto F.;Sciarrone A.
2021-01-01
Abstract
Unmanned Air Vehicles (UAVs), also known as drones, have become dominant recently in all fields including military, commercial, and other multiapplications, such as agriculture, search and rescue, infrastructures monitoring, and surveillance, especially for safety and security purposes. On one hand, deployment of UAVs has facilitated end-users and, on the other hand, this enormous increase in the usage of UAVs has raised many concerns with regard to security, harm, threats, and privacy issues by different agencies, governments, private organizations even by people in their residencies, which has stimulated and motivated many researchers toward the designing of anti-drone systems in order to be secure from such risks. The main objective of this chapter is to provide a comprehensive survey concerning the work carried out in the designing of an anti-drone system for detection, localization, and tracking using Radio Frequency (RF-) and WiFi-based techniques. In the category of drone detection, drone identification, and classification are also being explored. In more detail, this chapter will highlight the key factors of the surveyed techniques and the characteristics of such systems to deploy them, practically. Indeed, current studies provide systematic ways to understand the procedures, methods, tools, and techniques, as well as experimental setups, which have been carried out for the implementation of drone-surveillance systems. A comparison of the performance, found in the literature, of the designed systems in this field is presented and analyzed. Finally, open challenges, possible future research trends, and direction are highlighted in the context of drone detection, localization, and tracking systems. The presented survey chapter is aimed at providing a guide for the research community as it could be an ignition to work further with specific direction so making these crucial systems versatile and ready to be deployed practically to meet their potential market demand.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.