Optimal unbiased linear sensor fusion over multiple lossy channels with collective observability

• Main Authors: Wu, Yuchi, Ding, Kemi, Li, Yuzhe, Shi, Ling
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2022
• 主題: Engineering::Electrical and electronic engineering; State Estimation; Kalman Filter
• 在線閱讀: https://hdl.handle.net/10356/159376
• 機構: Nanyang Technological University

In this paper, we consider optimal linear sensor fusion for obtaining a remote state estimate of a linear process based on the sensor data transmitted over lossy channels. There is no local observability guarantee for any of the sensors. It is assumed that the state of the linear process is collecti...