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Full-Text Articles in Signal Processing
Resilient Dynamic State Estimation In The Presence Of False Information Injection Attacks, Jingyang Lu
Resilient Dynamic State Estimation In The Presence Of False Information Injection Attacks, Jingyang Lu
Theses and Dissertations
The impact of false information injection is investigated for linear dynamic systems with multiple sensors. First, it is assumed that the system is unaware of the existence of false information and the adversary is trying to maximize the negative effect of the false information on Kalman filter's estimation performance under a power constraint. The false information attack under different conditions is mathematically characterized. For the adversary, many closed-form results for the optimal attack strategies that maximize the Kalman filter's estimation error are theoretically derived. It is shown that by choosing the optimal correlation coefficients among the false information and allocating …
Joint Detection-State Estimation And Secure Signal Processing, Mengqi Ren
Joint Detection-State Estimation And Secure Signal Processing, Mengqi Ren
Theses and Dissertations
In this dissertation, joint detection-state estimation and secure signal processing are studied. Detection and state estimation are two important research topics in surveillance systems. The detection problems investigated in this dissertation include object detection and fault detection. The goal of object detection is to determine the presence or absence of an object under measurement uncertainty. The aim of fault detection is to determine whether or not the measurements are provided by faulty sensors. State estimation is to estimate the states of moving objects from measurements with random measurement noise or disturbance, which typically consist of their positions and velocities over …