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The same-mode coherent characteristic quantity in distinguishing the surface and underwater target

机译:区分水面和水下目标的同模相干特征量

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In the technique of matched field processing, target depth can be acquired in ambiguity graphs, which can be employed in the classification between the surface and underwater target. However, performance of depth estimating degenerates with environmental parameter mismatches. In this paper, the conception about the same-mode coherent characteristic quantity is put forward in order to distinguish between the surface and underwater target. In typical ocean waveguides, such as the isothermal layer, negative gradient and the thermocline, the same-mode coherent characteristic quantity can be attained by two hydrophones with certain vertical aperture by using mode filter processing, and by taking on clear orderliness, which means that the mode amplitude is summed with the same order normal mode. When choosing appropriate vertical aperture, the same-mode coherent characteristic quantity can make a distinction between the surface and underwater target in the ambiguity graph as between range and depth - which do not need to match the acoustic field precisely. Moreover, separable depth is put forward, which can be a favourable criterion in distinguishing between the surface and underwater target. Simulation experimentation shows that the characteristic quantity is more robust [is “robust” the right wod here/] with environmental parameters, such as sound speed profile, bottom parameter, and the frequency. The sea trials were undertaken in October 2014, using a vertical array of nearly forty meters. The sound profile of the sea area is the isothermal layer. When choosing the vertical array using two hydrophones , separable depth can be obtained between 10 meters and 15 meters in the ambiguity graph between range and depth. The depth of the source contains 5 meters and 20 meters. Processing the results of experimental data has proved to be effective in distinguishing the sound source, which has good prospects for distinguishing between surface and underwater targets. This conclusion confirms that the same-mode coherent characteristic quantity is correct.
机译:在匹配场处理技术中,目标深度可以在模糊度图中得到,该模糊度图可以用于水面目标与水下目标之间的分类。然而,深度估计的性能随着环境参数失配而退化。本文提出了关于同模相干特征量的概念,以区分水面和水下目标。在典型的海洋波导中,例如等温层,负梯度和温跃层,可以通过使用模式滤波处理并具有明确的有序性,由两个具有一定垂直孔径的水听器获得相同模式的相干特征量。模式振幅与相同阶数的普通模式相加。当选择合适的垂直孔径时,同模相干特征量可以在模糊度图中的表面和水下目标之间在距离和深度之间进行区分-不需要精确匹配声场。此外,提出了可分离的深度,这可以作为区分水面和水下目标的有利标准。仿真实验表明,在环境参数(例如声速分布,底部参数和频率)的作用下,特征量更加健壮[在此处/右边“稳健”。 2014年10月使用近40米的垂直阵列进行了海试。海域的声音剖面为等温层。当使用两个水听器选择垂直阵列时,在距离和深度之间的歧义图中可以得到10米到15米之间的可分离深度。源的深度包含5米和20米。处理实验数据的结果已被证明对区分声源是有效的,对于区分水面目标和水下目标具有良好的前景。该结论证实了同模相干特征量是正确的。

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