Federated Tobit Kalman Filtering Fusion With Dead-Zone-Like Censoring and Dynamical Bias Under the Round-Robin Protocol

• Published in: IEEE transactions on signal and information processing over networks Vol. 7; pp. 1 - 16
• Main Authors: Geng, Hang, Wang, Zidong, Alsaadi, Fuad E., Alharbi, Khalid H., Cheng, Yuhua
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Acceleration; Algorithms; Bias; Censored observations; Design of experiments; dynamical bias; federated fusion; Kalman filters; Protocols; Regression models; round-robin protocol; Sensor fusion; Sensors; Stochastic processes; tobit kalman filter; Uncertainty; White noise

This paper is concerned with the multi-sensor filtering fusion problem subject to stochastic uncertainties under the Round-Robin protocol (RRP). The uncertainties originate from three sources, namely, censored observations, dynamical biases and additive white noises. To reflect the dead-zone-like ce...