Flight Path Simulation of Maneuverable Unmanned Aerial Vehicles Based on Kalman Filter

被引：0
|
作者：
Yang, Wenda [1 ]
Wen, Xiangxi [1 ]
Lv, Maolong [1 ]
Wu, Minggong [1 ]
机构：
[1] Air Force Engn Univ, Air Traff Control & Nav Sch, Xian, Peoples R China
来源：
2023 9TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS, ICCAR | 2023年
基金：
美国国家科学基金会;
关键词：
UAV; kalman filter; target tracking; numerical simulation; TARGET TRACKING;
D O I：
10.1109/ICCAR57134.2023.10151758
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper introduces the basic concept of maneuvering target tracking by improving the tracking algorithm of the UAV maneuvering target. Finally, we simulate several typical UAV maneuvering models and analyze and compare the performance of each algorithm and the influence of parameter changes on the algorithm. Experiments show that the Kalman filter algorithm can filter linear systems and nonlinear systems after improvement. The filter precision, computational complexity, and storage capacity are considered, which is easy to meet the requirements of real-time calculation and has great engineering practical value.
引用
收藏
页码：205 / 209
页数：5
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