The dynamic development of microelectronics and wireless communication at the turn of the 20th and 21st centuries contributed to the increase in the availability and popularity of all kinds of unmanned platforms, air, land, surface, and underwater. In the case of unmanned aerial vehicles (UAVs), also popularly known as drones, the significant (crucial) advantages are high freedom of motion (i.e., the ability to move in three planes) and the possibility of using it practically anywhere (as opposed to water platforms). These factors influenced the dynamic development of this market sector and the high availability of various models and equipment. UAVs are being used in many sectors and services, both for civil and military purposes. Widespread availability, low cost, and ease of use also favor the possibility of using civilian UAVs for criminal, smuggling, terrorist, or military purposes. Recent armed conflicts, e.g., in Nagorno-Karabakh or Ukraine, and the situation on the eastern Polish-Belarusian border clearly show this. All countries recognize the potential and threat posed by the development of unmanned platforms. Therefore, for several years, special attention has been paid to analyses and research in sensors, effectors, and anti-drone systems. It is worth emphasizing that some effectors (e.g., jammers or spoofers) may significantly affect the navigation process of neighboring objects that use global navigation satellite systems (GNSSs). On the other hand, the use of anti-drone systems is important, especially in the context of protecting institutions and facilities of companies, state administration (i.a., embassies, consulates), army, strategic importance objects (e.g., related to energy, chemical industry), or protection of mass events. In this paper, we present an overview of solutions available on the market and development directions in the field of anti-drone technology.
2
Dostęp do pełnego tekstu na zewnętrznej witrynie WWW
W pracy skupiono się na problemie wykrywania bezzałogowych statków powietrznych naruszających zatrzeżoną przestrzeń powietrzną. Głównym celem badań jest opracowanie algorytmu umożliwiającego detekcję, identyfikacej i rozpoznanie bezzałogowego statku powietrznego wlatującego w obszar monitorowanej przestrzeni powietrznej. Proponowana metoda polega na wielosensorycznej fuzji danych i opiera się na warunkowej filtracji komplementarnej oraz wielostopniowej klasteryzacji danych sensorycznych. Skuteczność proponowanego rozwiązania została przetestowana z wykorzystaniem metodologii szybkiego prototypowania w oprogramowaniu MATLAB na podstawie rzeczywistych danych sensorycznych pozyskanych podczas przeprowadzonych lotów bezzałogowymi statkami powietrznymi.
EN
The paper focuses on the problem of detecting unmanned aerial vehicles that violate restricted airspace. The main purpose of the research is to develop an algorithm that enables the detection, identification and recognition of an unmanned aerial vehicle violating restricted airspace. The proposed method consists of multi-sensory data fusion and is based on conditional complementary filtration and multi-stage clustering. The efficiency of the proposed solution was tested using rapid prototyping approach in the MATLAB software on the basis of real sensory data acquired during arranged unmanned aerial vehicle flights.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.