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兵工学报 ›› 2015, Vol. 36 ›› Issue (8): 1525-1532.doi: 10.3969/j.issn.1000-1093.2015.08.021

• 论文 • 上一篇    下一篇

一种基于终点弹道气动噪声及落地声分析的未爆弹探测技术

张亚辉1, 王玉龙1, 刘皓挺2, 李宏凯1, 朱望飞1, 余琴兰1   

  1. (1.中国华阴兵器试验中心陕西 华阴 714200; 2.北京航天控制仪器研究所北京 100094)
  • 收稿日期:2014-11-06 修回日期:2014-11-06 上线日期:2015-10-16
  • 作者简介:张亚辉(1979—), 男, 工程师
  • 基金资助:
    总装备部重点预先研究项目(2012SY32B004)

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   

  1. (1.Huayin Ordnance Test Center, Huayin 714200, Shaanxi, China;2.Beijing Institute of Aerospace Control Instrument, Beijing 100094, China)
  • Received:2014-11-06 Revised:2014-11-06 Online:2015-10-16

摘要: 针对常规兵器靶场试验、部队训练及演习过程中非爆弹定位困难的问题,介绍了一种采用低成本声学传感器的终点弹道未爆弹探测技术。根据弹着区范围,布置若干声学传感器,保证其测量范围覆盖整个弹着区。对于每一个声学传感器采集到的气动噪声及落地声信号,执行以下计算步骤:采用快速傅里叶变换与拉普拉斯小波分析技术进行声学信号的降噪与增强;采用短时能量、短时幅度以及短时过零率进行气动噪声与落地声端点检测;采用小波包分析技术提取降噪增强后声学信号的特征;采用基于最小距离的阈值准则进行终点弹道气动噪声及落地声的识别。靶场试验未爆弹落点粗定位结果显示,文中所提技术可用于未爆弹落地点定位,定位精度可达10 m.

关键词: 兵器科学与技术, 未爆弹, 端点检测, 小波分析, 特征识别, 声定位

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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