Title :
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
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;
Conference_Titel :
Electronics Conference (BEC), 2012 13th Biennial Baltic
Conference_Location :
Tallinn
Print_ISBN :
978-1-4673-2775-6
DOI :
10.1109/BEC.2012.6376872
