UAVs interfere with the normal operation of high-speed railway frequently in recent years. But the classical UAV monitoring system cannot supervise UAVs effectively. In order to accurately estimate the direction of the UAVs. This paper proposes an application of MUSIC algorithm based on fourth-order cumulant in UAV monitoring system. The simulations verify the performance of the algorithm in high-speed railway environment.
UAV Direction Estimation in High-Speed Railway Environment
13th Asia Pacific Transportation Development Conference ; 2020 ; Shanghai, China (Conference Cancelled)
2020-06-29
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
UAV Direction Estimation in High-Speed Railway Environment
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