A method of real-time mobile vehicle identification by means of acoustic noise analysis implemented on an embedded device
Sergei Astapov, Jürgo Preden, Erki Suurjaak · 2012
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.