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A distributed subband valley fusion (DSVF) method for low frequency broadband target localization

机译:用于低频宽带目标定位的分布式子带谷融合(DSVF)方法

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摘要

A distributed subband valley fusion method is proposed in this paper for target localization for a multi- array fusion system. Instead of employing two-step processing like the traditional bearings-only target localization (BOTL) methods, the target location estimate is directly obtained from the intersection of the estimated bearing line of each array, which is automatically produced after applying a subband valley energy detection process to the reciprocal of the steered response power over predefined grid points. Bearing information at all frequencies and ranges are used to generate the bearing line and the intersection structure, leading to higher localization accuracy in comparison with the BOTL methods. In multiple-target situations, the data association problem is solved by distinguishing true targets from the ghost ones from the power and the number of bearing lines at the corresponding intersection grid point. The method is subsequently tested by the SWellEx-96 shallow water experiment data set. Simulation and experimental results demonstrate the localization accuracy of the proposed method. (C) 2018 Acoustical Society of America.
机译:本文提出了一种分布式子带谷融合方法,用于多阵列融合系统的目标定位。而不是使用像传统轴承的目标定位(BOTL)方法这样的两步处理,而是从每个阵列的估计轴承线的交叉点直接获得目标位置估计,这在应用子带谷能量检测后自动产生通过预定义网格点的转向响应电力的倒数处理。所有频率和范围的轴承信息用于生成轴承线和交叉结构,导致与僵尸程序方法相比较高的定位精度。在多目标情况中,通过将真实的目标与相应交叉电网点处的轴承线的功率和轴承线的数量区分开来解决数据关联问题。随后由摇臂-96浅水实验数据集进行测试。模拟和实验结果表明了所提出的方法的定位准确性。 (c)2018年声学学会。

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    Northwestern Polytech Univ Sch Marine Sci &

    Technol Xian 710072 Shaanxi Peoples R China;

    Northwestern Polytech Univ Sch Marine Sci &

    Technol Xian 710072 Shaanxi Peoples R China;

    Northwestern Polytech Univ Sch Marine Sci &

    Technol Xian 710072 Shaanxi Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 声学;
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