Position, Velocity and Acceleration Tracking Using Kalman Filter

G. Tziallas; M. Adam; N. Assimakis; A. Polyzos

doi:10.5281/zenodo.4990660

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JOURNAL ARTICLE

Position, Velocity and Acceleration Tracking Using Kalman Filter

G. Tziallas M. Adam N. Assimakis A. Polyzos

Year: 2021 Journal: Zenodo (CERN European Organization for Nuclear Research) Publisher: European Organization for Nuclear Research

DOI: 10.5281/zenodo.4990660

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Abstract

Constant acceleration movement in one, two and three dimensions can be modeled using time invariant models. Position, velocity and acceleration tracking is obtained using time invariant Kalman filter and steady state Kalman filter. The derived estimation and prediction are reliable.

Keywords:

Kalman filter Acceleration Control theory (sociology) Tracking (education) Invariant extended Kalman filter Fast Kalman filter Extended Kalman filter Alpha beta filter

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Inertial Sensor and Navigation

Physical Sciences → Engineering → Aerospace Engineering

Target Tracking and Data Fusion in Sensor Networks

Physical Sciences → Computer Science → Artificial Intelligence

Space Satellite Systems and Control

Physical Sciences → Engineering → Aerospace Engineering

Position, Velocity and Acceleration Tracking Using Kalman Filter

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