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Application of neural network aided Kalman filtering to SINS/GPS
Cui L.-Z.; Gao S.-Y.; Jia H.-G.; Chu H.-R.; Jiang R.-K.
2014
发表期刊Guangxue Jingmi Gongcheng/Optics and Precision Engineering
ISSNISBN/1004924X
卷号22期号:5页码:1304-1311
摘要To allow Micro-electro-mechanical System (MEMS)-based SINS/GPS integrated navigation systems to meet the accuracy requirements during GPS outages, a Radial Basis Function Neural Network (RBFNN) aided Adaptive Kalman Filtering (AKF) information fusion method was proposed. Firstly, the system structure consisting of dual modes of RBFNN training and prediction was designed. The RBFNN was trained while GPS signals were available and the inputs for AKF measurement updates were predicted during the GPS outages. Then, the mathematic models for RBFNN and AKF were built and the training strategy for RBFNN and the adaptive algorithm for AKF were designed. Finally, the performance of the proposed information fusion method was validated using real field test data. Test and experiment results show that the position precisions are better than 15 m and 90 m during GPS outages at 40 s and 100 s, respectively. The proposed information fusion method can effectively damp the divergence of the navigation error during GPS outages and can provide a low-cost, high-robustness, and medium-accuracy navigation scheme for small Unmanned Aerial Vehicles (UAVs), guided bombs and land vehicles.
收录类别EI
语种中文
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/43753
专题中科院长春光机所知识产出
推荐引用方式
GB/T 7714
Cui L.-Z.,Gao S.-Y.,Jia H.-G.,et al. Application of neural network aided Kalman filtering to SINS/GPS[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2014,22(5):1304-1311.
APA Cui L.-Z.,Gao S.-Y.,Jia H.-G.,Chu H.-R.,&Jiang R.-K..(2014).Application of neural network aided Kalman filtering to SINS/GPS.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,22(5),1304-1311.
MLA Cui L.-Z.,et al."Application of neural network aided Kalman filtering to SINS/GPS".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 22.5(2014):1304-1311.
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