Department of Electrical Engineering, Northwest Electromagnetics and Acoustics Research Laboratory, Portland State University, Portland, Oregon 97201-0751, USA.
J Acoust Soc Am. 2010 Aug;128(2):611-8. doi: 10.1121/1.3455813.
The waveguide invariant in shallow water environments has been widely studied in the context of passive sonar. The invariant provides a relationship between the frequency content of a moving broadband source and the distance to the receiver, and this relationship is not strongly affected by small perturbations in environment parameters such as sound speed or bottom features. Recent experiments in shallow water suggest that a similar range-frequency structure manifested as striations in the spectrogram exists for active sonar, and this property has the potential to enhance the performance of target tracking algorithms. Nevertheless, field experiments with active sonar have not been conclusive on how the invariant is affected by the scattering kernel of the target and the sonar configuration (monostatic vs bistatic). The experimental work presented in this paper addresses those issues by showing the active invariance for known scatterers under controlled conditions of bathymetry, sound speed profile and high SNR. Quantification of the results is achieved by introducing an automatic image processing approach inspired on the Hough transform for extraction of the invariant from spectrograms. Normal mode simulations are shown to be in agreement with the experimental results.
在被动声纳的背景下,浅海环境中的波导不变量已经得到了广泛的研究。该不变量提供了移动宽带声源的频率内容与接收器之间的距离之间的关系,并且该关系不受声速或底部特征等环境参数的小扰动的强烈影响。最近在浅水中进行的实验表明,对于主动声纳,在声谱图中存在类似的距离-频率结构,表现为条纹,并且该特性有可能提高目标跟踪算法的性能。然而,主动声纳的现场实验尚未确定不变量如何受到目标的散射核和声纳配置(单基地与双基地)的影响。本文通过在水深、声速剖面和高信噪比的受控条件下展示已知散射体的主动不变量,解决了这些问题。通过引入受 Hough 变换启发的自动图像处理方法从声谱图中提取不变量来实现结果的量化。模态模拟结果与实验结果一致。