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Proceedings Paper

A multi-band spectral subtraction-based algorithm for real-time noise cancellation applied to gunshot acoustics
Author(s): António L. L. Ramos; Sverre Holm; Sigmund Gudvangen; Ragnvald Otterlei
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Paper Abstract

Acoustical sniper positioning is based on the detection and direction-of-arrival estimation of the shockwave and the muzzle blast acoustical signals. In real-life situations, the detection and direction-of-arrival estimation processes is usually performed under the influence of background noise sources, e.g., vehicles noise, and might result in non-negligible inaccuracies than can affect the system performance and reliability negatively, specially when detecting the muzzle sound under long range distance and absorbing terrains. This paper introduces a multi-band spectral subtraction based algorithm for real-time noise reduction, applied to gunshot acoustical signals. The ballistic shockwave and the muzzle blast signals exhibit distinct frequency contents that are affected differently by additive noise. In most real situations, the noise component is colored and a multi-band spectral subtraction approach for noise reduction contributes to reducing the presence of artifacts in denoised signals. The proposed algorithm is tested using a dataset generated by combining signals from real gunshots and real vehicle noise. The noise component was generated using a steel tracked military tank running on asphalt and includes, therefore, the sound from the vehicle engine, which varies slightly in frequency over time according to the engine’s rpm, and the sound from the steel tracks as the vehicle moves.

Paper Details

Date Published: 6 June 2013
PDF: 10 pages
Proc. SPIE 8711, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XII, 871109 (6 June 2013); doi: 10.1117/12.2018589
Show Author Affiliations
António L. L. Ramos, Buskerud Univ. College (Norway)
Sverre Holm, Univ. of Oslo (Norway)
Sigmund Gudvangen, Buskerud Univ. College (Norway)
Ragnvald Otterlei, SNIPOS (Norway)


Published in SPIE Proceedings Vol. 8711:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense XII
Edward M. Carapezza, Editor(s)

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