Main research work is as follows. An approach of altitude measurement with high precision and reliability for UAV is presented by using barometric altitude sensor, GPS, accelerometer and attitude information based on the theory of federated filter.
本论文旨在研究信息融合技术在无人机高度和姿态信号测量中的应用,主要研究工作如下:基于联邦滤波理论,利用气压高度传感器、GPS、线加速度计和姿态信息,提出了一种高精度和高可靠性的高度确定方法。
参考来源 - 信息融合技术在无人机中的应用研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Furthermore, an adaptive adjustment of the coefficients of information sharing is adopted in federated filter.
此外，联邦滤波器算法中采用自适应调整信息分配系数的方法。
This paper introduces the theory and characteristics of federated filter based on multi model adaptive estimation.
本文介绍一种基于多模自适应估计的联邦滤波器的原理和特点。
Simulation proves the stability of federated filter designed in this paper and the practical experiment testified the proposed method by altering initial value.
仿真实验首先根据上述方法证明了联邦滤波器的滤波稳定性，然后通过改变滤波初始值的方法对上述方法的执行结果进行了实验验证。
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