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首页> 外文期刊>The Journal of the Acoustical Society of America >Development of a time-frequency representation for acoustic detection of buried objects
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Development of a time-frequency representation for acoustic detection of buried objects

机译：开发用于掩埋物体的声音检测的时频表示

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摘要

A recently developed apparatus permits the detection of buried objects, such as landmines, by remotely sensing the variations of ground vibration that occur over the buried object with a laser Doppler vibrometer (LDV), when the ground is insonified by means of acoustic-to-seismic coupling. As it is currently implemented, the LDV scans individual points on the ground. The technique shows much promise, but it is slow when compared to some other techniques. This work demonstrates that mines can be detected as the LDV beam moves continuously across the ground, by using an optimal time-frequency representation of the LDV signals. This improvement has the potential to significantly increase scanning speeds. The vibrometer output signal is analyzed by means of time-frequency representations, which exhibit characteristic acoustic "signatures" when scanning over buried objects. The most efficient representation appears to be the smoothed spectrogram weighted by the time-frequency coherence function. It detects the searched signal energy enhancements while filtering out most features due to speckle noise. Detection is then efficiently achieved by searching simultaneous extrema of the marginals and moments of this representation. Experiments show that scanning speeds up to 3.6 km/h can be achieved for successful detection of buried landmines in outdoor ground. (C) 2004 Acoustical Society of America.
机译：当地面通过声波声波声化时，通过激光多普勒测振仪（LDV）远程感测在掩埋物体上发生的地面振动变化，最新开发的设备可以检测诸如地雷之类的掩埋物体。地震耦合。目前，LDV会扫描地面上的各个点。该技术显示出很大的希望，但是与其他一些技术相比，它的速度很慢。这项工作表明，通过使用LDV信号的最佳时频表示，当LDV光束在地面上连续移动时，可以检测到地雷。这种改进有可能显着提高扫描速度。通过时频表示法分析振动计的输出信号，当扫描掩埋物体时，时频表示法表现出特征性的声学“特征”。最有效的表示似乎是通过时频相干函数加权的平滑频谱图。它可以检测搜索到的信号能量增强，同时滤除斑点噪声导致的大多数特征。然后通过搜索该表示的边际和矩的同时极值来有效地实现检测。实验表明，成功检测室外地面埋藏的地雷可以达到高达3.6 km / h的扫描速度。 （C）2004年美国声学学会。

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