Multilateration currently appears a promising technique for the location of dynamic controlled objects. Radar surveillance systems face a limitation due to the low resolution of radars. This paper proposes to use a MLAT surveillance system based on multilateration to address the UAV location problem. Algorithms for determining coordinates based on statistical theory of optimal filtration are considered. For the problem at hand, we performed a statistical simulation of the Kalman filtration algorithm. Our analysis of findings from numerical experiments shows that the proposed algorithm is capable of solving the problem of high-precision positioning and can be used to determine the position of unmanned aerial vehicles flying in a swarm.
Using a MLAT Surveillance System to Locate Unmanned Aerial Vehicles Flying as a Swarm
2022-04-14
7138557 byte
Conference paper
Electronic Resource
English
Air Traffic Control - Surveillance - MLAT systems gain ground
Online Contents | 2007
Surveillance Using Multiple Unmanned Aerial Vehicles
NTIS | 2009
|Optimal MLAT Tracking Based on Improved Simulation for Airport Surveillance
Trans Tech Publications | 2013
|SURVEILLANCE AND SANITIZATION USING UNMANNED AERIAL VEHICLES
European Patent Office | 2021
|Cooperative defensive surveillance using unmanned aerial vehicles
Tema Archive | 2009
|