KEYWORDS: Artillery, Atmospheric propagation, Wave propagation, Interference (communication), Acoustics, Distortion, Signal attenuation, Wind energy, Signal to noise ratio, Signal processing
Owing to the complexity of sound propagation and the limitations of available samples, traditional artillery sound recognition methods are lack of generalization ability to arbitrary acoustic propagation environments and detection ranges. In this paper, a novel classification approach is proposed based on the deterministic linear channel model of sound propagation in the atmosphere, which identifies the type of an unknown remote artillery sound by searching the matched source waveform space with the maximum projection energy in a pre-established database. Simulation results show that the proposed method has higher adaptability to the variation of atmospheric propagation channels of the acoustic signal, and provides a feasible idea for improving the ability of long-range artillery sound recognition at any unknown distances.
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