摘要
将多模自适应估计用于导航数据融合处理方法中,通过数字仿真将单一模型的惯导系统/全球定位系统/多普勒计程仪组合导航系统与多模自适应估计的组合导航系统的性能进行了比较,多模滤波器具有较明显的稳定滤波,而且,加大了测量值动态范围,说明了多模自适应估计在组合导航系统中可增强系统对环境的适应性,提高组合导航系统的精度。
Multi-model adaptive estimation method is applied to data fusion of the intenerated navigation system. Comparing the single model performance of inertial navigation system (INS)/global position dystem (GPD)/ Doppler log integrated navigation system with that of multi-model adaptive estimation integrated navigation system by digital simulation, multi-model electric filter is satisfactory for stable filter. Multiple model adaptive estimation system can enhance the adaptability of integrated navigation system scheme to the environment and can greatly improve the accuracy of integrated navigation system.
出处
《传感器与微系统》
CSCD
北大核心
2006年第7期85-88,共4页
Transducer and Microsystem Technologies
基金
海装"十五"预研项目资助(413090202)
关键词
组合导航
多模估计
卡尔曼滤波
惯导系统
卫星定位系统
integrated navigation
multi-model estimation
Kalman filter
inertial navigation systems (INS)
global position system(GPS)