Privacy-aware Kalman filtering

• Main Authors: Song, Yang, Wang, Chong Xiao, Tay, Wee Peng
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2020
• 主題: Engineering::Electrical and electronic engineering; Kalman Filter; Inference Privacy
• 在線閱讀: https://hdl.handle.net/10356/137345

We are concerned with a privacy-preserving problem in Kalman filter: a sensor releases a set of measurements to fusion center, who has perfect knowledge of the dynamical model, to allow it to estimate the public state, while prevent it from estimating the private state. We propose to linearly transf...