Privacy-aware Kalman filtering

Privacy-aware Kalman filtering

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...

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書目詳細資料
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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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