UXO Detection Based on Terminal Ballistics Acoustic Signal Analysis of Aerodynamic Noise and Landing Sound

ZHANG Ya-hui;WANG Yu-long;LIU Hao-ting;LI Hong-kai;ZHU Wang-fei;YU Qin-lan

Acta Armamentarii ›› 2015, Vol. 36 ›› Issue (8) : 1525-1532. DOI: 10.3969/j.issn.1000-1093.2015.08.021
Paper

UXO Detection Based on Terminal Ballistics Acoustic Signal Analysis of Aerodynamic Noise and Landing Sound

  • ZHANG Ya-hui1, WANG Yu-long1, LIU Hao-ting2, LI Hong-kai1, ZHU Wang-fei1, YU Qin-lan1
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Abstract

For the location problem of unexploded ordnance (UXO)in the processes of conventional weapon test, military training and exercises, a low cost UXO detection method of the terminal ballistics is presented. According to the size of the impact area , many low cost acoustic sensors are installed in shooting range. The measuring range of these sensors covers the whole impact area. As for the signals of aerodynamic noise and the landing sound, which are captured by each acoustic sensor, the computation is implemented to used FFT and Laplace wavelet to denoise and enhance the original acoustic signal; use the short time energy, short time amplitude, and short time zero-crossing rate to detect the endpoint of these signals above; use the wavelet packet to collect the features of the enhanced signal; and use the minimized distance-based threshold criterion to identify the aerodynamic noise and the landing sound. The test results of UXO location in the shooting range show that the proposed technique can be used for UXO location and the location accuracy can reach 10 m.

Key words

ordnance science and technology / unexploded ordnance / endpoint detection / wavelet analysis / feature identification / acoustic location

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ZHANG Ya-hui, WANG Yu-long, LIU Hao-ting, LI Hong-kai, ZHU Wang-fei, YU Qin-lan. UXO Detection Based on Terminal Ballistics Acoustic Signal Analysis of Aerodynamic Noise and Landing Sound. Acta Armamentarii. 2015, 36(8): 1525-1532 https://doi.org/10.3969/j.issn.1000-1093.2015.08.021

References

[1] 曲赞,李永涛. 探测未爆炸弹的地球物理技术综述 [J]. 地质科技情报,2006,25(3):101-104.
QU Zan, LI Yong-tao. Overview on detection for unexploded ordnance (UXO) with geophysical techniques [J]. Geological Science and Technology Information, 2006, 25(3): 101-104. (in Chinese)
[2] SanchezV, Li Y, Nabighian M N,et al. Numerical modeling of higher order magnetic moments in UXO discrimination [J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(9): 2568-2583.
[3] van WaardR, van der Baan S, van Dongen K W A. Experimental data of a directional borehole radar system for UXO detection[C]∥International Conference on Ground Penetrating Radar. Delft, the Netherlands: IEEE, 2004: 225-228.
[4] 李小康,杨磊,刘磊. 未爆弹药问题及其地球物理解决方案综述 [J]. 中国矿业,2010,19(增刊):187-191.
LI Xiao-kang, YANG Lei,LIU Lei. Overview on unexploded ordnance problem and a solution: the geophysical scheme [J]. China Mining Magazine, 2010, 19(S): 187-191. (in Chinese)
[5] 喻忠鸿,王传雷,吴文贤,等. 磁法探测炸弹有效深度的物理模拟 试验及分析[J]. 工程地球物理学报,2007,4(2): 118-122.
YU Zhong-hong, WANG Chuan-lei, WU Wen-xian,et al. Physical simulation experiment and analysis to the effective depth for magnetic survey detecting unexploded ordnance [J]. Chinese Journal of Engineering Geophysics, 2007, 4(2): 118-122. (in Chinese)
[6] 王学志,涂英,吴克桐,等. 基于匹配场原理的矢量阵三维声源定位研究 [J]. 兵工学报,2013, 33(8):927-933.
WANG Xue-zhi, TU Ying, WU Ke-tong, et al. Vector array for 3D source location based on matched field principle [J]. Acta Armamentarii, 2013, 33(8): 927-933. (in Chinese)
[7] 董明荣,许学忠,张彤,等. 空中炸点三基阵声学定位技术研究 [J]. 兵工学报,2010,31(3):343-349.
DONG Ming-rong, XU Xue-zhong, ZHANG Tong, et al. Research on three-array acoustic localization technology for the aerial blast points [J]. Acta Armamentarii, 2010, 31(3): 343-349. (in Chinese)
[8] 刘亚雷,顾晓辉. 三维运动声阵列对双点声源角跟踪指向性能研究 [J]. 兵工学报,2012, 33(5):526-533.
LIU Ya-lei, GU Xiao-hui. Research on the angle tracking pointing performance of 3D dynamic acoustic array based on dual acoustic sources [J]. Acta Armamentarii, 2012, 33(5): 526-533. (in Chinese)
[9] LiX F, Liu H. Sound source localization for HRI using FOC-based time difference feature and spatial grid matching [J]. IEEE Transactions on Cybernetics, 2013, 43(4): 1199-1212.
[10] JiangQ, Li T, Yao Y, et al. A study of EMD modal identification based on Laplace wavelet matching [C] // International Conference on Intelligent System Design and Engineering Application.Sanya, Hainan, China: IEEE, 2012: 101-104.
[11] WuB F, Wang K C. Robust endpoint detection algorithm based on the adaptive band-partitioning spectral entropy in adverse environments [J]. IEEE Transactions on Speech and Audio Processing, 2005, 13(5): 762-775.
[12] TohidypourH R, Seyyedsalehi S A, Behbood H. Comparison between wavelet packet transform, Bark wavelet & MFCC for robust speech recognition tasks [C] // International Conference on Industrial Mechatronics and Automation, Wuhan, Hubei, China: IEEE, 2010: 329-332.
[13] BijamovA, Fernandez J P, Barrowes B E, et al. Camp Butner live-site UXO classification using hierarchical clustering and Gaussian mixture modeling [J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(8): 5218-5229.
[14] 杜功焕,朱哲民,龚秀芬. 声学基础 [M]. 南京:南京大学出版社,2001.
DU Gong-huan, ZHU Zhe-min, GONG Xiu-fen. Basic acoustics [M]. Nanjing: Nanjing University Press,2001. (in Chinese)
[15] ZhangQ, Al-Nuaimy W, Huang Y. Detection of deeply buried UXO using CPT magnetometers [J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(2): 410-417.
[16] 苏新主,姬红兵,高新波. 一种基于数学形态学的红外弱小目标 检测方法 [J]. 红外与激光工程, 2004,33(3): 307-310.
SU Xin-zhu, JI Hong-bing, GAO Xin-bo. Detection method for dim small IR targets based on mathematical morphology [J]. Infrared and Laser Engineering, 2004, 33(3): 307-310. (in Chinese)

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