传感技术学报Issue(4)：505-512,8.DOI:10.3969/j.issn.1004-1699.2014.04.016
车辆磁场跟踪问题的几种非线性滤波方案研究
Research on Several Nonlinear Filtering Methods for Vehicle Magnetic Field Tracking
摘要
Abstract
This article first summarizes the estimation and tracking method of vehicles magnetic field,and illustrates the advantages and existing problems to use non-linear filtering algorithms. Second,the principles and models of two methods,the“Two sensors”method and the " Gradiometer" method, in which nonlinear filtering algorithm is applied, are described. What's more, a“Gradient tensor”method combined the Euler inversion with Kalman algorithm is proposed. The Cramer-Rao Bounds of nonlinear filtering algorithm is used to analyze and compare the performance of these methods mentioned above. At last,simulation results are carefully demonstrated and show that all these methods have the ability to estimate and track a vehicle. However,the“Gradient tensor”method performs much better than other methods in terms of the estimation of magnetic moment.关键词
车辆磁场跟踪/非线性滤波/磁场梯度张量/Cramer-Rao下限Key words
vehicle magnetic field tracking/nonlinear filtering/gradient tensor/ramer-Rao bounds分类
数理科学引用本文复制引用
余振华,周乾伟,谢东峰,李宝清..车辆磁场跟踪问题的几种非线性滤波方案研究[J].传感技术学报,2014,(4):505-512,8.基金项目
系统技术国防科技重点实验室基金项目(9140C18010213ZK34001) （9140C18010213ZK34001）
