机电工程技术2025，Vol.54Issue(2)：6-11,6.DOI:10.3969/j.issn.1009-9492.2025.02.002
神经网络辅助卡尔曼滤波组合导航算法的现状与展望
The Current Status and Prospects of Neural Network Assisted Kalman Filter Integrated Navigation Algorithm
陈晓锋 1庄巍 2伍超明 1范建林 2刘大伟2
作者信息
- 1. 五邑大学电子与信息工程学院,广东 江门 529020||广东省科学院半导体研究所,广州 510651
- 2. 广东省科学院半导体研究所,广州 510651
- 折叠
摘要
Abstract
The data fusion algorithms of global satellite navigation systems and inertial navigation systems are introduced,and the integrated navigation data fusion algorithms is classified.The fusion algorithm of artificial intelligence assisted Kalman filtering has also been subdivided,and the application methods of neural network assisted Kalman filtering and the combination methods of integrated navigation have been introduced in detail.The progress made by scholars in applying neural networks in loose and tight combinations is summarized,and the working principle of neural network assisted Kalman filtering using convolutional neural networks is briefly described as an example.The difficulties in the research of integrated navigation data fusion algorithms are pointed out,and the development trend of artificial intelligence assisted Kalman filter fusion algorithms is discussed.关键词
组合导航/人工智能技术/卡尔曼滤波Key words
integrated navigation/artificial intelligence technology/Kalman filtering分类
信息技术与安全科学引用本文复制引用
陈晓锋,庄巍,伍超明,范建林,刘大伟..神经网络辅助卡尔曼滤波组合导航算法的现状与展望[J].机电工程技术,2025,54(2):6-11,6.
