Paper Info
Title
Secure State Estimation with Byzantine Sensors: A Probabilistic Approach.
Abstract
This paper studies static state estimation in multi-sensor settings, with a caveat that an unknown subset of the sensors are compromised by an adversary, whose measurements can be manipulated arbitrarily. A new performance metric, which quantifies the asymptotic decay rate for the probability of having an estimation error larger than $delta$, is proposed. We develop an optimal estimator for the new performance metric with a fixed $delta$, which is the Chebyshev center of a union of ellipsoids. We further provide an estimator that is optimal for every $delta$, for the special case where the sensors are homogeneous. Numerical examples are given to elaborate the results.
Year
DOI
Venue
2019
10.1109/tac.2020.2982589
arXiv: Systems and Control
DocType
Volume
Citations 
Journal
abs/1903.05698
0
PageRank 
References 
Authors
0.34
10
4
Name
Order
Citations
PageRank
Xiaoqiang Ren15812.21
Yilin Mo289151.51
Jie Chen32487353.65
Karl Henrik Johansson43996322.75