Artillery sound recognition based on waveform space projection

Yinghui Wu; Zhao Zhao; Zhiyong Xu

doi:10.1117/12.2631838

14 April 2022 Artillery sound recognition based on waveform space projection

Yinghui Wu, Zhao Zhao, Zhiyong Xu

Proceedings Volume 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021); 121780V (2022) https://doi.org/10.1117/12.2631838
Event: International Conference on Signal Processing and Communication Technology (SPCT 2021), 2021, Tianjin, China

Abstract

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.

Citation Download Citation

Yinghui Wu, Zhao Zhao, and Zhiyong Xu "Artillery sound recognition based on waveform space projection", Proc. SPIE 12178, International Conference on Signal Processing and Communication Technology (SPCT 2021), 121780V (14 April 2022); https://doi.org/10.1117/12.2631838

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