A sequential filtering technique for geoacoustic inversion with ship of opportunity and a vector sensor

Qunyan Ren, J. Hermand
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引用次数: 1

Abstract

This paper introduces a sequential filtering technique to obtain the ocean bottom acoustic properties with the noise field of a ship of opportunity. It filters the ratio between pressure p and vertical particle velocity Vz (or pressure gradient pg), both measured by a vector sensor, to estimate the environmental properties. This technique models the inverse problem as a random walk for the environmental time/spatial evolution, by formulating the environmental parameters in a recursive state-space form. It assumes the environmental parameters as the summation of previous stage parameters with a noise variance term for each state, and estimates their values along the source ship track by sequentially filtering recorded ship noise data. Numerical tests were carried out for the South East Elba environment. The preliminary results demonstrates this technique can effectively resolve most geoacoustic parameters.
利用机遇号船和矢量传感器进行地球声反演的顺序滤波技术
本文介绍了一种时序滤波技术,利用随机船舶的噪声场来获取海底声学特性。它过滤压力p和垂直粒子速度Vz(或压力梯度pg)之间的比率,两者都由矢量传感器测量,以估计环境特性。该技术通过将环境参数以递归状态空间形式表述,将反问题建模为环境时间/空间演化的随机游走。该方法将环境参数假设为每一状态的前一阶段参数和噪声方差项的总和,并通过对记录的船舶噪声数据进行逐级滤波,估计其在源船舶航迹上的值。对厄尔巴岛东南部的环境进行了数值试验。初步结果表明,该方法能有效地解析大部分地声参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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