基于H?滤波算法的BP网络在SINS/GPS中的应用
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(1.海军航空工程学院 控制工程系,山东 烟台 264001;2.92941部队,辽宁 葫芦岛 125001;3.91115部队,浙江 舟山 316041)

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TP13

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Application of BP Neural Networks Based on H? Filter in SINS/GPS
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(1.Department of Control Engineering,NAEI,Yantai Shangdong 264001,China;2.The 92941st Unit of PLA,Huludao Liaoning 125001,China;3.The 91115th Unit of PLA,Zhoushan Zhejiang 316041,China)

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    摘要:

    实际系统中存在的各种不确定性和非线性将使估计精度降低、卡尔曼滤波发散。针对这些问题,文章提出了基于H?滤波算法的BP网络自适应滤波技术,采用H?滤波算法在线调节BP网络的权值,并应用在SISN/GPS中。仿真结果表明,该网络具有较好的鲁棒性,其精度与H?滤波算法的精度相当。

    Abstract:

    In the real system, various uncertainties and the actual nonlinear would came the problems such as the low estimated accuracy, Kalman filtering divergence and so on. In this paper, a BP network adaptive filtering technology based on the H? filtering algorithm, was proposed which was used to adjust the weights of BP network online and was applied in SINA/GPS. Simulation results show that the network has good tobust, and has the same precision as H? filter algorithm.

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引用本文

戴邵武,路燕,孙庆祥,蒋文忠.基于H?滤波算法的BP网络在SINS/GPS中的应用[J].海军航空大学学报,2007,22(6):625-628
DAI Shao-wu, LU Yan, SUN QING-Xiang, JIANG Wen-zhong. Application of BP Neural Networks Based on H? Filter in SINS/GPS[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2007,22(6):625-628

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  • 在线发布日期: 2018-07-05
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