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Sensors 2017, 17(4), 751; doi:10.3390/s17040751

Comparison of Adaptive Spectral Estimation for Vehicle Speed Measurement with Radar Sensors

Microwave Integrated Systems Laboratory, University of Birmingham, Birmingham B15 2TT, UK
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Author to whom correspondence should be addressed.
Academic Editors: Gui Yun Tian and Gerard F. Fernando
Received: 8 January 2017 / Revised: 27 March 2017 / Accepted: 29 March 2017 / Published: 2 April 2017
(This article belongs to the Special Issue State-of-the-Art Sensors Technology in UK)
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Abstract

Vehicle speed-over-ground (SoG) radar offers significant advantages over conventional speed measurement systems. Radar sensors enable contactless speed measurement, which is free from wheel slip. One of the key issues in SoG radar is the development of the Doppler shift estimation algorithm. In this paper, we compared two algorithms to estimate a mean Doppler frequency accurately. The first is the center-of-mass algorithm, which based on spectrum center-of-mass estimation with a bandwidth-limiting technique. The second is the cross-correlation algorithm, which is based on a cross-correlation technique by cross-correlating Doppler spectrum with a theoretical Gaussian curve. Analysis shows that both algorithms are computationally efficient and suitable for real-time SoG systems. Our extensive simulated and experimental results show both methods achieved low estimation error between 0.5% and 1.5% for flat road conditions. In terms of reliability, the cross-correlation method shows good performance under low Signal-to-Noise Ratio (SNR) while the center-of-mass method failed in this condition. View Full-Text
Keywords: speed over ground; Doppler radar sensor; vehicle speedometer; speed estimation algorithm speed over ground; Doppler radar sensor; vehicle speedometer; speed estimation algorithm
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Shariff, K.K.M.; Hoare, E.; Daniel, L.; Antoniou, M.; Cherniakov, M. Comparison of Adaptive Spectral Estimation for Vehicle Speed Measurement with Radar Sensors. Sensors 2017, 17, 751.

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