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Matched-field localization of explosive sources in the Barents Sea using a horizontal array

机译:使用水平阵列在巴伦支海爆炸物的匹配场定位

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Matched-field processing (MFP) techniques are used to estimate the range to explosive sources using acoustic data recorded on a bottom mounted horizontal array. Data from an experiment conducted by FFI in the Barents Sea in August of 1999 is used. The experiment took place in a relatively flat area (water depths 280-340 m), using broadband explosive (SUS) sources and a receiving array deployed in a vertical-horizontal (L-shaped) configuration. A two-step method is employed. The first step (environment focusing) makes use of a genetic algorithm global search method (SAGA) to determine an optimal seabed model for the area. The second step (localization) employs a normal mode acoustic propagation model (C-SNAP) in an exhaustive range-depth grid search for the source position, using the model environment obtained in the first step and an optimal equivalent water depth. Matching is performed using the incoherent broadband Bartlett processor. Good localization in range and depth is demonstrated when using data from two 10 Hz wide frequency bands within 40 Hz to 110 Hz, with source positions determined to within 300 m in range and 6 m in depth for sources to ranges 20 km from the array.
机译:匹配场处理(MFP)技术用于使用记录在底部安装的水平阵列上的声学数据估算爆炸物的射程。使用了FFI于1999年8月在巴伦支海进行的一项实验的数据。该实验是在相对平坦的区域(水深280-340 m)中进行的,使用宽带炸药(SUS)源和以垂直-水平(L形)配置部署的接收阵列。采用两步法。第一步(以环境为重点)利用遗传算法全局搜索方法(SAGA)来确定该地区的最佳海床模型。第二步(本地化)使用第一步中获得的模型环境和最佳等效水深,在详尽的范围-深度网格搜索源位置时采用标准模式声传播模型(C-SNAP)。使用非相干宽带Bartlett处理器执行匹配。当使用来自40 Hz至110 Hz内两个10 Hz宽频带的数据时,在距离和深度上都具有良好的定位性,对于距阵列20 km的信号源,信号源位置确定在300 m以内,深度6 m以内。

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