Assessment of particle filter and Kalman filter for estimating velocity using odometery system

作者：Khodadadi A^*; Mirabadi A; Moshiri B

来源：Sensor Review, 2010, 30(3): 204-209.

DOI：10.1108/02602281011051380

• Data analysis
• Trains
• Railway engineering
• Velocity
• Programming and algorithm theory
• Particle size measurement

Purpose - The purpose of this paper is to propose multisensory integration for train positioning application, to support recent automatic train control systems and also moving block signaling systems.
Design/methodology/approach - Reducing the cost and at the same time improving the reliability and accuracy of the overall positioning system, are primary goals of the researches going on in this field.
Findings - This paper designs and evaluates two different algorithms of Kalman filtering (KF) and particle filtering (PF), on a set of low cost positioning systems, as tachometers, Doppler radar and balises.
Originality/value - This paper's research outcomes introduce considerable improvements upon the results when compared to the current utilization of the stand-alone tachometer and Doppler radar sensors, and slight improvements in comparison with the KF algorithm, and also upon results in recent publications on the subject.

• 出版日期2010