The Acoustic Signal Processing branch of the U.S.Army Research Laboratory (ARL) has demonstrated, using the output of microphone arrays of battlefield acoustic sensors, that harmonic lines are effective spectral features for the target identification of acoustic signatures from ground vehicles such as tanks and trucks. However, battlefield acoustic target identification is extremely challenging because of the variations in the signature caused by the environmental effects on the acoustic propagation, vehicle operating characteristics (e.g. gear, load) and target dynamics such as range, velocity, and aspect. The utilization of air acoustic propagation models to normalize the spectral features can be used to mitigate a significant portion of the thise variability for robust battlefield acoustic target identification. The integration of acoustic propagation models is a new approach, and potentially represents a very significant improvement to current target recognition methods.
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