Track Detection in Railway Sidings Based on MEMS Gyroscope Sensors

Sensors

Antoni Broquetas¹  Adolf Comerón¹  Antoni Gelonch¹  Josep M. Fuertes²  J. Antonio Castro³  Damià Felip¹  Miguel A. López¹ 

[1] Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, Campus Nord UPC, 08034 Barcelona, Spain;Department of Automatic Control, Universitat Politècnica de Catalunya, Campus Nord UPC, 08034 Barcelona, Spain; E-Mails:;SENER Ingeniería y Sistemas S.A., Provença 392, 08025 Barcelona, Spain; E-Mail:

关键词: track detection;    MEMS gyroscope;    adaptive matched filtering;    railway navigation;   

DOI  :  10.3390/s121216228

来源: mdpi

【 摘 要 】

The paper presents a two-step technique for real-time track detection in single-track railway sidings using low-cost MEMS gyroscopes. The objective is to reliably know the path the train has taken in a switch, diverted or main road, immediately after the train head leaves the switch. The signal delivered by the gyroscope is first processed by an adaptive low-pass filter that rejects noise and converts the temporal turn rate data in degree/second units into spatial turn rate data in degree/meter. The conversion is based on the travelled distance taken from odometer data. The filter is implemented to achieve a speed-dependent cut-off frequency to maximize the signal-to-noise ratio. Although direct comparison of the filtered turn rate signal with a predetermined threshold is possible, the paper shows that better detection performance can be achieved by processing the turn rate signal with a filter matched to the rail switch curvature parameters. Implementation aspects of the track detector have been optimized for real-time operation. The detector has been tested with both simulated data and real data acquired in railway campaigns.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland