RTU Research Information System
Latviešu English

Publikācija: CW Doppler Radar Based Land Vehicle Speed Measurement Algorithm Using Zero Crossing and Least Squares Method

Publication Type Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language CW Doppler Radar Based Land Vehicle Speed Measurement Algorithm Using Zero Crossing and Least Squares Method
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Peteris Misāns
Māris Tērauds
Keywords Continuous Wave; Estimation of vehicles; Land vehicles; Least squares methods; Matlab/Simulink software; Novel algorithm; Shape recognition; Signal extraction; Signal filtering; Time frequency; Tracking detectors; Zero-crossings
Abstract This paper presents the development of a novel algorithm for continuous wave 24GHz Doppler radar DSP module. The algorithm is based on an accurate vehicle signal extraction by tracking detector, the well-known zero-crossing algorithm for time-frequency signal detection, a relative simple signal filtering and the least squares method (LSM) for the estimation of vehicle velocity, length and radar localization parameters. The simple scattering centre model has been used for the LSM to estimate the listed quantities. The algorithm is estimated as a good platform for the prototyping of more complicated algorithms that can be used for the vehicle shape recognition. For the prototyping of the algorithm the Matlab/Simulink software has been used. © 2012 IEEE.
DOI: 10.1109/BEC.2012.6376841
Hyperlink: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6376841 
Reference Misāns, P., Tērauds, M. CW Doppler Radar Based Land Vehicle Speed Measurement Algorithm Using Zero Crossing and Least Squares Method. In: Proceedings of the 13th Biennial Baltic Electronics Conference (BEC 2012), Estonia, Tallinn, 3-5 October, 2012. Piscataway: IEEE, 2012, pp.161-164. ISBN 978-1-4673-2774-9. ISSN 1736-3705. Available from: doi:10.1109/BEC.2012.6376841
Additional information Citation count:
ID 17715