文献类型：期刊文献

英文题名：Multi-Sensor Kalman Filtering With Intermittent Measurements

作者：Yang, Chao[1];Zheng, Jiangying[2];Ren, Xiaoqiang[2];Yang, Wen[1];Shi, Hongbo[1];Shi, Ling[2]

机构：[1]East China Univ Sci & Technol, Dept Automat, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China;[2]Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Kowloon, Hong Kong, Peoples R China

年份：2018

卷号：63

期号：3

起止页码：797

外文期刊名：IEEE TRANSACTIONS ON AUTOMATIC CONTROL

收录：;EI(收录号：20173704161447);WOS:【SCI-EXPANDED(收录号:WOS:000426276500015)】；

基金：The work of C. Yang was supported in part by National Natural Science Foundation of China under Grant NSFC61503139 and in part by the Fundamental Research Funds for Central Universities 222201514330. The work of W. Yang was supported by National Natural Science Foundation of China under Grant NSFC61573143. The work of L. Shi was supported by an RGC General Research Fund 16210015. Recommended by Associate Editor M. Verhaegen. (Corresponding author: Hongbo Shi.)

语种：英文

外文关键词：Intermittent measurements; Kalman filtering; modified algebraic Riccati equation (MARE); multi-sensor

摘要：In this paper, we extend the stability theory on Kalman filtering with intermittent measurements from the scenario of one single sensor to the one of multiple sensors. Consider that a group of sensors take measurement of the states of a process and then send the data to a remote estimator. The estimator receives the measurements intermittently, which may be caused by the fact that the channels have packet dropouts or that the sensors schedule the data transmission stochastically. Based on the received measurements, the estimator computes the estimates of the process states by multi-sensor Kalman filtering. Because of the intermittent measurements, the estimator may be unstable. This stability issue is mainly investigated in this paper. A notion of transmission capacity, which is related to the communication rates of sensors, is proposed. It is shown that the expected estimation error covariance diverges for all feasible communication rates collections of the sensors when the transmission capacity is below a certain value; meanwhile, when the transmission capacity is above another certain value, there exists a feasible communication rates collection such that the expected estimation error covariance is bounded.