Paper
28 April 2023 Sound source localization based on microphone array for flying bullet
Author Affiliations +
Proceedings Volume 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022); 126261P (2023) https://doi.org/10.1117/12.2674286
Event: International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 2022, Zhuhai, China
Abstract
In the gun sound location system, how to use more information to quickly locate is a very important issue. In the current study, the muzzle wave has been used for single-point positioning to determine the position of the sniper, but it lacks the ballistic positioning of the flying missile. Tracking and localization using the Mach waves generated by the bullet's flight can also estimate the location of the sniper. The trajectory after the Kalman filter is more in line with the actual bullet flight trajectory, and the position of the sniper can be well resolved by using the least squares estimation. Finally, the CRLB of the proposed method is derived, and the effectiveness of the proposed method is verified by simulation.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yanmin Tan, Jiyan Huang, Zhendong Kuang, Yufei Liu, and Zhiyuan Liu "Sound source localization based on microphone array for flying bullet", Proc. SPIE 12626, International Conference on Signal Processing, Computer Networks, and Communications (SPCNC 2022), 126261P (28 April 2023); https://doi.org/10.1117/12.2674286
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KEYWORDS
Acoustic waves

Snipers

Matrices

Source localization

Error analysis

Mathematical modeling

Motion estimation

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