Abstract: This paper is concerned with unmanned aerial vehicle (UAV) path optimization for AOA target localization via distributed processing.
ABSTRACT. This paper is concerned with unmanned aerial vehicle (UAV) path optimization for AOA target localization via distributed pro- cessing.
In [16] , a distributed UAV path optimization algorithm based on the gradient descent method was developed to improve angle of arrival (AOA) target localization ...
Mar 1, 2016 · This paper is concerned with unmanned aerial vehicle (UAV) path optimization for AOA target localization via distributed processing.
This paper focuses on single target tracking by multiple UAVs equipped with AOA sensors in the 3D space. The target tracking geometry using noise-free 3D angle ...
A distributed 3D AOA target tracking method is proposed consisting of a distributed estimator and path optimization algorithm for multiple UAVs. First a ...
Missing: localization. | Show results with:localization.
A distributed 3D AOA target tracking method is proposed consisting of a distributed estimator and path optimization algorithm for multiple UAVs. First a novel ...
In this paper, new path optimization algorithms are developed for uncrewed aerial vehicle (UAV) self-localization and target tracking.
Dec 26, 2022 · This paper focuses on a coordinated tracking planning method of multiple unmanned aerial vehicles (UAVs), which was deployed in the best positions.
This paper focuses on distributed state estimation (DSE) and unmanned aerial vehicle (UAV) path optimization for target tracking.