Sensor Power Control for Remote State Estimation With Historical Data Re-Transmission

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING(2023)

引用 0|浏览5
暂无评分
摘要
In this article, the problem of sensor transmission power control for remote state estimation is considered, where packet drops may occur. In most existing literature, the task is to choose the transmission power level for sending the latest data packet at each time step. However, only transmitting the latest packet may not fully compensate the estimation performance degradation due to the drops of historical packets. Therefore, in this paper, we propose a new sensor transmission power control scheme, where the power for sending the latest packet in the fixed sensor transmission power control scheme is split into two parts: one for the transmission of the latest packet and the other one for the re-transmission of the historical packet. Specifically, we derive an explicit recursion expression of the estimation error covariance and the steady-state analysis of the proposed scheme. Additionally, we provide a sufficient condition such that the proposed scheme outperforms the fixed sensor transmission power control scheme. Moreover, the analytical properties of the proposed scheme and further results are derived from the special case of sensor scheduling problems. Finally, numerical simulations illustrate the validity of the proposed theoretical methods.
更多
查看译文
关键词
Kalman filter,re-transmit sensor scheme,power control,event-triggered,remote state estimation
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要