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

Author

Astapov, S. ; Preden, J.S. ; Suurjaak, E.

Author_Institution

Dept. of Comput. Control, TUT, Tallinn, Estonia

fYear

2012

fDate

3-5 Oct. 2012

Firstpage

283

Lastpage

286

Abstract

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.

Keywords

acoustic noise; acoustic signal processing; correlation methods; decision making; frequency-domain analysis; fuzzy set theory; mobile radio; acoustic noise analysis; acoustic signal analysis; correlation analysis; embedded device; frequency domain feature extraction; fuzzy classification; multistage decision-making scheme; realtime mobile vehicle identification; signal dynamics monitoring; signal frame lengths; time measurements; Algorithm design and analysis; Classification algorithms; Feature extraction; Monitoring; Noise; Real-time systems; Vehicles;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics Conference (BEC), 2012 13th Biennial Baltic

Conference_Location

Tallinn

ISSN

1736-3705

Print_ISBN

978-1-4673-2775-6

Type

conf

DOI

10.1109/BEC.2012.6376872

Filename

6376872