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A method of real-time mobile vehicle identification by means of acoustic noise analysis implemented on an embedded device

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3 Author(s)
Astapov, S. ; Dept. of Comput. Control, TUT, Tallinn, Estonia ; Preden, J.S. ; Suurjaak, E.

The paper considers a novel method of mobile vehicle identification based on acoustic signal analysis and the implementation of the method on a specific embedded device. The algorithm is designed as a multistage decision-making scheme, which involves frequency domain feature extraction, fuzzy classification, correlation analysis and signal dynamics monitoring. The implementation of the system is tested in real-time conditions on an embedded platform. The results of processing time measurements indicate the ability to operate in real-time with several different signal frame lengths.

Published in:

Electronics Conference (BEC), 2012 13th Biennial Baltic

Date of Conference:

3-5 Oct. 2012