Localization of small surface vessels through acoustic data fusion of two tetrahedral arrays of hydrophones
Localization of small surface vessels through acoustic data fusion of two tetrahedral arrays of hydrophones
复制标题
通过两个水听器四面体阵列的声学数据融合来定位小型水面血管
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
A. Maguer
中科院分区：
文献类型：
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作者：
A. Tesei;S. Fioravanti;V. Grandi;P. Guerrini;A. Maguer
船只的检测和跟踪在诸如海洋公园或港口的封闭区域中是重要的。目前，船舶的存在可以通过雷达或AIS系统准确地监测，而雷达信号较弱的小型船舶很容易被错过。本文提出了检测和定位算法优化的小型和中型船舶和数据的基础上，无论是从一个单一的水下传感器站的四个水听器，或从两个水听器体积阵列之间的数据融合。每个平台都有一个稀疏的四面体阵列，由宽带水听器和摇摄、倾斜、罗盘和深度传感器组成。来自两个台站的声学和非声学数据都被传输到海岸，在那里它们被存储在PC上并进行处理。定位算法的基础是水听器对之间沿时间方向的沿着互相关（互相关图）。通过最小均方法从每个四面体上估计出船舶的波矢。充分的数据关联算法
Detection and tracking of vessels is important in confined areas such as marine parks or harbors. Nowadays, the presence of ships can be accurately monitored either by radar or via AIS system, while small vessels, which have weak radar signature, may be easily missed. The paper presents the detection and localization algorithms optimized for small- and mid-sized boats and based on data either from a single underwater sensor station of four hydrophones, or from data fusion between two hydrophone volumetric arrays. Each platform hosts a sparse tetrahedral array of broadband hydrophones and pan, tilt, compass and depth sensors. Both acoustic and non-acoustic data from the two stations are transferred to shore, where they are stored and processed on a PC. The basis of localization algorithm is the cross-correlation between pairs of hydrophones along time (crosscorrelogram). The wavevector estimation of a vessel from each tetrahedron is achieved through Least Mean Square method. Adequate data association algor...