TY - GEN
T1 - Feature extraction for acoustic classification of small aircraft
AU - Yakubovskiy, Alexander
AU - Salloum, Hady
AU - Sutin, Alexander
AU - Sedunov, Alexander
AU - Sedunov, Nikolay
AU - Masters, David
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/24
Y1 - 2015/11/24
N2 - Standard approach to aircraft classification in acoustic sensor networks is based on propeller blades rotation harmonics and fundamental frequency analysis. However, propeller blades induced sound is not the only sound producing mechanism. As a result, aircraft of different classes (small plane, helicopter, and ultralight aircraft) often provide similar acoustic signatures in the spectral domain. We present new feature extraction methods beyond the spectral peaks-based ones. First, general feature extraction considerations are reviewed. Then features are described including harmonic-based feature, a feature based on Lloyd's mirror multi-path propagation effect, and a feature based on sound spikes caused by propeller blades interaction with flow vortices. Experiments are provided to justify the efficiency of the proposed features for target classification.
AB - Standard approach to aircraft classification in acoustic sensor networks is based on propeller blades rotation harmonics and fundamental frequency analysis. However, propeller blades induced sound is not the only sound producing mechanism. As a result, aircraft of different classes (small plane, helicopter, and ultralight aircraft) often provide similar acoustic signatures in the spectral domain. We present new feature extraction methods beyond the spectral peaks-based ones. First, general feature extraction considerations are reviewed. Then features are described including harmonic-based feature, a feature based on Lloyd's mirror multi-path propagation effect, and a feature based on sound spikes caused by propeller blades interaction with flow vortices. Experiments are provided to justify the efficiency of the proposed features for target classification.
KW - acoustic aircraft classification
KW - classification decision tree
KW - feature extraction
KW - information fusion
UR - http://www.scopus.com/inward/record.url?scp=84960910754&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84960910754&partnerID=8YFLogxK
U2 - 10.1109/WASPAA.2015.7336911
DO - 10.1109/WASPAA.2015.7336911
M3 - Conference contribution
AN - SCOPUS:84960910754
T3 - 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015
BT - 2015 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015
T2 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2015
Y2 - 18 October 2015 through 21 October 2015
ER -