SVR-Bootstap Filter and Its Application in Dead Reckoning System

机译：SVR-Bootstrap滤波器及其在航位推算系统中的应用

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Bootstrap filter is a powerful nonlinear filtering tool based on sequential Monte Carlo framework. However, its efficiency will degenerate if too many samples are applied. In this paper, an improved Bootstrap filter is proposed by integrating support vector regression-SVR into sequential Monte Carlo framework with a small sample set. The feasibility of this method is proved with a simulating example of Dead Reckoning-DR system, and it positioning precision outperforms EKF ,IKF, and classical Bootstrap filter.

机译：Bootstrap滤波器是基于顺序蒙特卡洛框架的强大的非线性滤波工具。但是，如果使用过多的样本，其效率将会降低。在本文中，通过将支持向量回归-SVR集成到具有少量样本集的顺序蒙特卡洛框架中，提出了一种改进的Bootstrap滤波器。通过Dead Reckoning-DR系统的仿真实例证明了该方法的可行性，其定位精度优于EKF，IKF和经典的Bootstrap滤波器。

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《2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会）论文集》|2009年|1-5|共5页
会议地点 Qingdao(CN)
作者
ZHANG Santong; HU Lingling;
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作者单位

School of Electronic and Information Engineering, Beijing Jiaotong University Beijing, 100044 P.R.China;

School of Electronic and Information Engineering, Beijing Jiaotong University Beijing, 100044 P.R.China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类统计学;
关键词
Bootstrap Filtering; Dead Reckoning; Extended Kalman Filter; Support Vector Regression;

机译：自举滤波；航位推算；扩展卡尔曼滤波；支持向量回归;

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1. Filtering and Estimation of Vehicular Dead Reckoning System Based on Hopfield Neural Network [J] . BI Jun, FU Meng-yin, ZHANG Qi-hong Journal of Beijing Institute of Technology . 2003,第3期

机译：基于Hopfield神经网络的车辆航位推算系统的滤波与估计。
2. Digital filters to integrate global positioning system and dead reckoning [J] . J. van Bergeijk, D. Goense, K. J. Keesman, Journal of Agricultural Engineering Research . 1998,第2期

机译：集成全球定位系统和航位推算的数字滤波器
3. Improved Pedestrian Dead Reckoning Based on a Robust Adaptive Kalman Filter for Indoor Inertial Location System [J] . Fan Qigao, Zhang Hai, Pan Peng, Nature reviews Cancer . 2019,第2期

机译：基于鲁棒自适应卡尔曼滤波器的适用于室内惯性定位系统的改进的行人死亡
4. SVR-Bootstap Filter and Its Application in Dead Reckoning System [C] . ZHANG Santong, HU Lingling International Institute of Applied Statistics Studies . 2009

机译：SVR-Bootstrap过滤器及其在Dead Reckoning系统中的应用
5. Estimation with applications for automobile dead reckoning and control. [D] . Carlson, Christopher R. 2004

机译：估算汽车航位推算和控制的应用。
6. Improved Pedestrian Dead Reckoning Based on a Robust Adaptive Kalman Filter for Indoor Inertial Location System [O] . Qigao Fan, Hai Zhang, Peng Pan, 2019

机译：基于鲁棒自适应卡尔曼滤波器的改进型行人航位推算系统
7. Improved Pedestrian Dead Reckoning Based on a Robust Adaptive Kalman Filter for Indoor Inertial Location System [O] . Qigao Fan, Hai Zhang, Peng Pan, 2019

机译：基于鲁棒自适应卡尔曼滤波器的适用于室内惯性定位系统的改进的行人死亡

SVR-Bootstap Filter and Its Application in Dead Reckoning System

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