带未知通信干扰和丢包补偿的多传感器系统的融合估计

FUSION ESTIMATION FOR MULTI-SENSOR SYSTEMS WITH UNKNOWN COMMUNICATION DISTURBANCES AND COMPENSATION OF PACKET LOSSES

研究了带未知通信干扰和丢包的多传感器系统的融合估计问题.用一组满足Bernoulli分布的随机变量来描述从不同传感器到融合中心或各局部数据处理子站的数据传输过程中的丢包现象.在丢包发生时,采用当前丢失观测的预报进行补偿.应用线性无偏最小方差估计准则,分别设计了不依赖于未知干扰的集中式融合状态预报器和按矩阵加权分布式融合状态预报器.最后,基于所提出的状态预报器设计了未知通信干扰估值器.仿真例子验证了算法的有效性.

Fusion estimation problems are studied for multi-sensor systems with unknown communication disturbances and packet losses. Packet loss phenomena during the data transmission process from different sensors to the fusion center or individual local data processing substations are described by a group of random variable sequences satisfying the Bernoulli distributions. In the presence of packet losses, the predictor of the current lost packet is used as a compensator. A centralized fusion state predictor and a distributed fusion state predictor weighted by matrices that are independent of unknown disturbances are presented by using the linear unbiased minimum variance estimation criterion. Finally, the estimators of unknown commu- nication disturbances are also designed based on the proposed state predictors. An example is given to verify the effectiveness of the proposed algorithms.