基于小型三维阵列的瞬态声源快速被动定位方法
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黄时春(1990-),男,博士生,主要从事水下声源定位研究。

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O429

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Fast Passive Localization Method for Transient Acoustic Sources Based on Small 3D Array
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    摘要:

    重物在落水和着底过程中都会产生瞬态声信号,这类信号可被运用于浅水区域水下目标定位。 针对浅水区域目标定位的问题,提出了一种基于小型立体五元基阵的瞬态声源快速被动定位算法。 在分析重物落水信号特征的基础上,选取合适的广义互相关加权函数求得传声器之间的声程差,运用快速最小二乘搜索算法进行声源定位。 结果表明:运用 5 传声器阵列可以同时兼顾定位精度和鲁棒性,且满足实时性要求,该方法可运用于浅水区域瞬态声源定位等领域。

    Abstract:

    Transient sound signals are generated when a heavy objects falls into water and hits the bottom, which can be used to locate the underwater target in shallow water. In this paper, a fast passive positioning algorithm for transient acoustic sources based on small three-dimensional five-element array is proposed to solve the problem of target localization in shallow water. On the basis of analyzing water-entry signal characteristics of the heavy objects, the generalized cross-correlation weighted function is select- ed to obtain sound path difference between each-two microphone, then the acoustic source position is obtained using the fast least squares search algorithm. The results show that the localization accuracy and robustness of the algorithm can be taken into account at the same time by using the 5 microphones array, simultaneously, this algorithm meets the requirement of real-time performance. This algorithm can be applied in the field of transient sound sources localization in shallow water.

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黄时春,张焕强,蒋伟康.基于小型三维阵列的瞬态声源快速被动定位方法[J].数字海洋与水下攻防,2018,1(3):12-17

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  • 在线发布日期: 2021-03-17
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