State estimation under non-Gaussian Lévy and time-correlated additive sensor noises: A modified Tobit Kalman filtering approach

Hang Geng; Zidong Wang; Yuhua Cheng; Fuad E. Alsaadi; Abdullah M. Dobaie

doi:10.1016/j.sigpro.2018.08.005

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State estimation under non-Gaussian Lévy and time-correlated additive sensor noises: A modified Tobit Kalman filtering approach

Hang Geng Zidong Wang Yuhua Cheng Fuad E. Alsaadi Abdullah M. Dobaie

Year: 2018 Journal: Signal Processing Vol: 154 Pages: 120-128 Publisher: Elsevier BV

DOI: 10.1016/j.sigpro.2018.08.005

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Keywords:

Kalman filter Gaussian Mathematics Gaussian noise Noise (video) Control theory (sociology) Tobit model Extended Kalman filter Gaussian filter Filter (signal processing) Algorithm Computer science Statistics Artificial intelligence Physics

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Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Distributed Sensor Networks and Detection Algorithms

Physical Sciences → Computer Science → Computer Networks and Communications

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

State estimation under non-Gaussian Lévy and time-correlated additive sensor noises: A modified Tobit Kalman filtering approach

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