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A Novel Movable UWB Localization System Using UAVs
DOI:10.1109/ACCESS.2022.3164701.png)
摘要
En 中文
Recently, interest in ultrawideband (UWB)-based localization systems has increased in various application fields. However, since UWB anchors are usually fixed, they work only within the limited range that UWB measurement signals can reach. To address this issue, a swarm flight system with movable UWB anchors is developed. One ground station controls multiple unmanned aerial vehicles (UAVs), each of which is equipped with a UWB anchor and real-time kinematic global positioning system (RTK-GPS) capabilities, and collects the precise (centimeter-level) positions of the UWB anchor UAVs through RTK-GPS. In this way, the constraints of existing UWB systems can be alleviated by changing the UWB anchor positions in real time as desired by the user. In addition, this paper proposes a novel localization algorithm using only time-of-flight (TOF) measurements from UWB signals, heading information from an attitude and heading reference system (AHRS), and altitude information from a barometer. The results of UAV flight tests show that the proposed algorithm provides better localization performance than existing algorithms.
Keyword:
Location awareness
Sensors
Global Positioning System
Estimation
Autonomous aerial vehicles
Sensor systems
Image sensors
Interacting multiple model
Kalman filter
localization
swarm flight system
ultrawideband (UWB)
unmanned aerial vehicle (UAV)
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Energy-Efficient Swarming Flight Formation Transitions Using the Improved Fair Hungarian Algorithm
SENSORS
IF3.5
Design, Implementation, and Evaluation of a Neural-Network-Based Quadcopter UAV System基于神经网络的四旋翼无人机系统的设计,实现和评估

