论文部分内容阅读
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.
The fusion estimation problem of multisensor system with unknown communication interference and packet loss is studied.A group of random variables satisfying the Bernoulli distribution are used to describe the packet loss during the data transmission from different sensors to the fusion center or local data processing sub- Phenomenon.When the packet loss occurs, the current forecast of missing observations is used to compensate.The linear unbiased minimum variance estimation criterion is used to design a centralized fusion state predictor independent of unknown interference and a matrix-based weighted fusion state prediction At last, an unknown communication interference estimator is designed based on the proposed state predictor, and simulation examples show the effectiveness of the proposed algorithm.