Effects of fundamental frequency normalization on vibration-based vehicle classification

Ashley Smith; Steve Goley; Karmon Vongsy; Arnab Shaw; Matthew Dierking

doi:10.1117/12.2180636

21 May 2015 Effects of fundamental frequency normalization on vibration-based vehicle classification

Ashley Smith, Steve Goley, Karmon Vongsy, Arnab Shaw, Matthew Dierking

Proceedings Volume 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV; 94741A (2015) https://doi.org/10.1117/12.2180636
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

Abstract

Vibrometry offers the potential to classify a target based on its vibration spectrum. Signal processing is necessary for extracting features from the sensing signal for classification. This paper investigates the effects of fundamental frequency normalization on the end-to-end classification process ^[1]. Using the fundamental frequency, assumed to be the engine’s firing frequency, has previously been used successfully to classify vehicles ^{[2, 3]}. The fundamental frequency attempts to remove the vibration variations due to the engine’s revolution per minute (rpm) changes. Vibration signatures with and without fundamental frequency are converted to ten features that are classified and compared. To evaluate the classification performance confusion matrices are constructed and analyzed. A statistical analysis of the features is also performed to determine how the fundamental frequency normalization affects the features. These methods were studied on three datasets including three military vehicles and six civilian vehicles. Accelerometer data from each of these data collections is tested with and without normalization.

Citation Download Citation

Ashley Smith, Steve Goley, Karmon Vongsy, Arnab Shaw, and Matthew Dierking "Effects of fundamental frequency normalization on vibration-based vehicle classification", Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94741A (21 May 2015); https://doi.org/10.1117/12.2180636

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