Privacy-aware Kalman filtering

• Main Authors: Song, Yang, Wang, Chong Xiao, Tay, Wee Peng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Electrical and electronic engineering; Kalman Filter; Inference Privacy
• Online Access: https://hdl.handle.net/10356/137345
• Institution: Nanyang Technological University

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...