Miniaturized ultra‐wideband printed dipole array for electronic warfare applications in unmanned aerial vehicle systems

2020 ◽  
Vol 62 (11) ◽  
pp. 3601-3610
Author(s):  
A. N. Meena Kumari ◽  
Suma Varughese ◽  
P. Venkatesh Rao
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Ultra Wideband ◽  
Electronic Warfare ◽  
Vehicle Systems ◽  
Aerial Vehicle

Deconfliction in High-Density Unmanned Aerial Vehicle Systems

2019 ◽  
Vol 27 (2) ◽  
pp. 61-69 ◽  
Author(s):  
Timothy B. Nysetvold ◽  
John L. Salmon
Keyword(s):  
Unmanned Aerial Vehicle ◽  
High Density ◽  
Vehicle Systems ◽  
Aerial Vehicle

scholarly journals Ultra-wideband based cooperative relative localization algorithm and experiments for multiple unmanned aerial vehicles in GPS denied environments

2017 ◽  
Vol 9 (3) ◽  
pp. 169-186 ◽  
Author(s):  
Kexin Guo ◽  
Zhirong Qiu ◽  
Wei Meng ◽  
Lihua Xie ◽  
Rodney Teo
Keyword(s):  
Kalman Filter ◽  
Unmanned Aerial Vehicles ◽  
Unmanned Aerial Vehicle ◽  
Extended Kalman Filter ◽  
Ultra Wideband ◽  
Cooperative Localization ◽  
Relative Localization ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Displacement Measurements

This article puts forward an indirect cooperative relative localization method to estimate the position of unmanned aerial vehicles (UAVs) relative to their neighbors based solely on distance and self-displacement measurements in GPS denied environments. Our method consists of two stages. Initially, assuming no knowledge about its own and neighbors’ states and limited by the environment or task constraints, each unmanned aerial vehicle (UAV) solves an active 2D relative localization problem to obtain an estimate of its initial position relative to a static hovering quadcopter (a.k.a. beacon), which is subsequently refined by the extended Kalman filter to account for the noise in distance and displacement measurements. Starting with the refined initial relative localization guess, the second stage generalizes the extended Kalman filter strategy to the case where all unmanned aerial vehicles (UAV) move simultaneously. In this stage, each unmanned aerial vehicle (UAV) carries out cooperative localization through the inter-unmanned aerial vehicle distance given by ultra-wideband and exchanging the self-displacements of neighboring unmanned aerial vehicles (UAV). Extensive simulations and flight experiments are presented to corroborate the effectiveness of our proposed relative localization initialization strategy and algorithm.

Ultra-Wideband Pulse Radar Mounted on an Unmanned Aerial Vehicle for the Monitoring of Moving Objects

2021 ◽  
Vol 55 (4) ◽  
pp. 396-405
Author(s):  
V. Aristov ◽  
E. Lobanovs ◽  
R. Maliks ◽  
M. Celitans ◽  
J. Simanovichs ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Moving Objects ◽  
Ultra Wideband ◽  
Pulse Radar ◽  
Aerial Vehicle

scholarly journals Protect Your Sky: A Survey of Counter Unmanned Aerial Vehicle Systems

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 168671-168710 ◽  
Author(s):  
Honggu Kang ◽  
Jingon Joung ◽  
Jinyoung Kim ◽  
Joonhyuk Kang ◽  
Yong Soo Cho
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Vehicle Systems ◽  
Aerial Vehicle
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