Abstract
This paper proposed a novel method for accurate vehicle speed estimation based on magnetic sensors. The estimation system consists of triple sensors and signals are collected synchronously when vehicles travel over it. Taking into consideration the difference of sensor sensitivity and self-disturbance of Earths magnetic field, a signal correlation model is introduced to improve the measurement precision of vehicle traveling time. Spectrum analysis and correlation model are used to accurately estimate the phase difference of sensor signals. In addition, an efficient clock synchronization algorithm based on active compensation is designed to reduce the time estimation error and enhance the vehicle speed estimation accuracy. Simulation and on-road experiment show that the method introduced in this paper has better performance and robustness than other approaches.
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Zhang, W., Tan, G., Ding, N. (2014). Vehicle Speed Estimation Based on Sensor Networks and Signal Correlation Measurement. In: Sun, L., Ma, H., Hong, F. (eds) Advances in Wireless Sensor Networks. CWSN 2013. Communications in Computer and Information Science, vol 418. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54522-1_1
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DOI: https://doi.org/10.1007/978-3-642-54522-1_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54521-4
Online ISBN: 978-3-642-54522-1
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