摘要
针对组合导航系统在载体实际运动中,存在着局部滤波器精度急剧下降和滤波发散问题,并且会给整个联合卡尔曼滤波器带来污染,提出基于模糊评判的自适应信息融合方法。给出了评价滤波器性能的滤波结果可信度定义和模糊评价方法,并在此基础上进行信息分配保持全局估计精度和控制滤波发散。理论分析与仿真结果表明,该方法比常规联合卡尔曼滤波器具有更高的精度和可靠性。
The drastic accuracy decrease and divergence of the local filter may occur when the vehicles move, which can cause the degradation of the performance of combined Kalman filtering. Aimed at this problem, an adaptive information fusion method is presented based on fuzzy assessment. The definition of creditability of the filter's estimation results and its fuzzy assessment method are given, and based on this, information distribution and divergence control are applied to keep the global estimation accuracy. Theoretic analysis and simulation results demonstrate that the method has better accuracy and reliability than a conventional combined Kalman filtering.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2005年第2期308-311,共4页
Systems Engineering and Electronics
关键词
组合导航
联合卡尔曼滤波器
模糊评判
信息融合
integrated navigation
combined Kalman filtering
fuzzy assessment
information fusion
