@article{3034862,
    title = "Distributed Periodic Steady State Kalman Filter",
    author = "Assimakis, N. and Adam, M. and Massouros, C.",
    journal = "International Journal of Circuits, Systems and Signal Processing",
    year = "2022",
    volume = "16",
    pages = "668-674",
    publisher = "North Atlantic University Union NAUN",
    doi = "10.46300/9106.2022.16.83",
    keywords = "Impulse response;  Parallel algorithms;  Parallel processing systems, Distributed implementation;  Finite-impulse response;  Idle time;  Parallel structures;  Periodic models;  Steady sate;  Steady-state Kalman filters, Kalman filters",
    abstract = "In this paper a distributed implementation for the periodic steady state Kalman filter is proposed. The distributed algorithm has parallel structure and can be implemented using processors in parallel without idle time. The number of processors is equal to the model period. The resulting speedup is also derived. The Finite Impulse Response (FIR) form of the periodic steady state Kalman filter is derived. © 2022, North Atlantic University Union NAUN. All rights reserved."
}