LIN Xiao-gong, XU Shu-sheng, ZHAO Da-wei, et al. Multi-rate sensor adaptive data fusion algorithm for incomplete measurement[J]. 2012, 31(4): 119-122. DOI: 10.13873/j.1000-97872012.04.047.
多速率传感器不完全测量数据自适应融合算法
摘要
针对不完全测量的多速率传感器系统
建立了自适应的分级融合算法。该算法构建了传感器子系统故障检测方法
检测子系统故障
确认不完全测量
避免单点故障污染整个系统;建立子系统的切换控制逻辑
引入映射矩阵
构成新的信息分享系数
自适应地选择子系统参与中心融合;对于不完全测量信息的传感器子系统
利用子滤波预测值代替估计值进行融合;全局状态估计利用各子系统的当前与前一时刻的估计值
提高了融合性能。对建立的算法进行仿真
验证了该算法的有效性。
Abstract
An adaptive data fusion algorithm for a multi-rate sensor system based on incomplete measurement is proposed.The algorithm builts a method of sensor subsystem fault detection.The subsystem failure is detected and the incomplete measurement is confirmed to avoid contaminating the entire system by single failure.The subsystem switch control logic is built
mapping matrices are introduced by the algorithm
and new information sharing coefficients are defined.The algorithm can adaptively select subsystems for the center integration.When the incomplete measurement information of the subsystem is found
the predictive value displaces the state estimation for the fusion.The current time estimation value and a priori value of the subsystem are used by the global state estimation
and the fusion performance is improved.The simulation result verifies the effectiveness of the proposed algorithm.