Distributed Periodic Steady State Kalman Filter

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...

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Bibliographic Details
Published in:International Journal of Circuits, Systems and Signal Processing
Main Author: Assimakis N., Adam M., Massouros C.
Format: Article in Journal/Newspaper
Language:English
Published: 2022
Subjects:
FIR filters
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
North Atlantic University Union NAUN
North Atlantic
Online Access:http://hdl.handle.net/11615/70889
https://doi.org/10.46300/9106.2022.16.83
Description
Summary: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.

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