… Also, the presence of noise in the background, reverberation, and interference presence
degrades the performance of tracking. The above-mentioned algorithms presented well in their …

… system in the presence of an integrated sensor is investigated using a modified Kalman filter
[9… -rate [11] measurements in the presence of integrated measurement and variable delay is …

… In this study, the authors propose an ensemble Kalman filter based anomaly detector using
a … framework over traditional bad data detection in presence of false data injection attack. …

… However, the Kalman filter is only applicable to linear … Kalman filter (EKF)[2] and sigma-point-type
filters such as the unscented Kalman filter (UKF)[3] and cubature Kalman filter (CKF)[4]. …

In this work, we propose an innovation-based INS spoofing monitor that utilizes a tightly-coupled
INS-GNSS integration in a Kalman filter. The performance of the monitor is evaluated …

Bitumen in the oil sands industry is separated from sand using a water-based gravity separation
process in a primary separation vessel (PSV). The interface between the froth and the …

… Kalman Filter (KKF) [1] is an unbiased minimum variance estimator for only the states in
presence … KKF allows optimal estimates of states to be obtained in presence of unknown inputs …

… time-varying parameters and an Adaptive Unscented Kalman Filter (AUKF) is designed to
… a technique of covariance matching in the Unscented Kalman Filter (UKF) context. A stable …

… implement a distributed Kalman filter or distributed information filter. Distributed computation
… In the presence of measurement noise,5 we assume that v1 ∼ GP(0, 0.2δ(h)), v2 ∼ GP(0, 0.…

… system—the heart of EVs and Kalman filtering is a standard SOC estimation method. Because
… A SOC estimation algorithm is developed in this work, extended Kalman filter (EKF), and …