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基于混合极化多重信号分类算法的水下环境中物体的有源电定位

Active Electro-Location of Objects in the Underwater Environment Based on the Mixed Polarization Multiple Signal Classification Algorithm.

作者信息

Xu Yidong, Shang Wenjing, Guo Lili, Qi Junwei, Li Yingsong, Xue Wei

机构信息

College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China.

出版信息

Sensors (Basel). 2018 Feb 11;18(2):554. doi: 10.3390/s18020554.

Abstract

This article proposes a novel active localization method based on the mixed polarization multiple signal classification (MP-MUSIC) algorithm for positioning a metal target or an insulator target in the underwater environment by using a uniform circular antenna (UCA). The boundary element method (BEM) is introduced to analyze the boundary of the target by use of a matrix equation. In this method, an electric dipole source as a part of the locating system is set perpendicularly to the plane of the UCA. As a result, the UCA can only receive the induction field of the target. The potential of each electrode of the UCA is used as spatial-temporal localization data, and it does not need to obtain the field component in each direction compared with the conventional fields-based localization method, which can be easily implemented in practical engineering applications. A simulation model and a physical experiment are constructed. The simulation and the experiment results provide accurate positioning performance, with the help of verifying the effectiveness of the proposed localization method in underwater target locating.

摘要

本文提出了一种基于混合极化多重信号分类(MP-MUSIC)算法的新型有源定位方法,该方法利用均匀圆形天线(UCA)在水下环境中对金属目标或绝缘体目标进行定位。引入边界元法(BEM)通过矩阵方程分析目标边界。在该方法中,作为定位系统一部分的电偶极源垂直于UCA平面设置。因此,UCA只能接收目标的感应场。UCA每个电极的电势用作时空定位数据,与传统的基于场的定位方法相比,无需获取每个方向的场分量,在实际工程应用中易于实现。构建了仿真模型和物理实验。仿真和实验结果提供了精确的定位性能,有助于验证所提出的定位方法在水下目标定位中的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b023/5855325/14e30e9381db/sensors-18-00554-g001.jpg

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