摘要
针对地磁场测量信息观测性较差的现状,为了获得较高的辅助导航定位精度和良好的滤波性能,进行了地磁辅助导航路径规划研究.以反映地磁场变化幅度的奇异指数做为地磁场信息量的度量,以点迹总信息量及信息量递增性构建辅助导航路径性能指标.采用粒子滤波算法,对不同路径进行了辅助导航性能仿真对比.仿真结果表明,该算法规划的辅助导航路径比其他路径具有更好的导航定位精度和滤波性能.
Geomagnetic navigation precisely obtains positions from geomagnetic field information.In order to obtain precise positions and filter stability,the poor observability of measured geomagnetic data was analyzed,the singularity exponent was used to measure the amount of geomagnetic information,the performance index was built using gross information and increasing factors,and flight route planning for geomagnetic aided navigation was researched using a singularity exponent.Finally,performance was compared using the flight simulation along different routes with a particle filter as the geomagnetic filter algorithm.The simulation results show that aided navigation routing planned using this algorithm has better positioning accuracy,filtering stability,and convergence.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2011年第4期509-512,共4页
Journal of Harbin Engineering University
关键词
地磁导航
路径规划
多重分形
小波变换
奇异指数
geomagnetic navigation
flight route planning
multifractal theory
wavelets
singularity exponent
作者简介
李欣（1967-），女，博士研究生，E-mail：lixinnavy96@sina．com；通信作者
王德生（1948-），男，教授，博士生导师．
