摘要
多传感器网络化线性离散系统的每个传感器基于自己的观测数据可进行局部状态估计。当局部估值被传输给融合中心时,可能遭受DoS(Denial of service)攻击。为了补偿DoS攻击引起的数据丢失,采用丢失数据的预报器进行补偿。应用线性无偏最小方差矩阵加权融合算法获得分布式融合状态滤波器。所提出的分布式融合滤波器改善了局部估计的精度,且比协方差交叉融合算法具有更高的估计精度。仿真例子验证了算法的有效性。
In multi-sensor networked linear discrete systems,each sensor performs local state estimation based on its measurements.When local estimates are transmitted to the fusion center,they may be subjected to DoS(Denial of service)attack.To compensate data loss caused by the DoS attack,the predictor of lost data is adopted for compensation.A distributed fusion state filter is obtained by using a matrix weighted fusion algorithm in the linear unbiased minimum variance sense.The proposed distributed fusion filter improves the accuracy of local estimates,and has higher estimation accuracy than the covariance intersection fusion algorithm.A simulation example verifies the effectiveness of the proposed algorithm.
作者
何光耀
孙书利
HE Guangyao;SUN Shuli(College of Electronic Engineering,Heilongjiang University,Harbin 150080,China)
出处
《黑龙江大学自然科学学报》
CAS
2024年第3期347-354,共8页
Journal of Natural Science of Heilongjiang University
基金
黑龙江省自然科学基金重点项目(ZD2021F003)。
