舰船回转运动中拖曳阵阵形定位技术研究  

Array shape estimation using eigen decomposition method during the turning

作　　者：帅长庚[1,2] 张世轲 杨家轩 周思同[1,2] SHUAI Chang-geng;ZHANG Shi-ke;YANG Jia-xuan;ZHOU Si-tong(Institute of Noise&Vibration,Naval University of Engineering,Wuhan 430033,China;National Key Laboratory on Ship Vibration&Noise,Wuhan 430033,China)

机构地区：[1]海军工程大学振动与噪声研究所,武汉430033 [2]船舶振动噪声重点实验室,武汉430033

出　　处：《船舶力学》2020年第9期1127-1133,共7页Journal of Ship Mechanics

摘　　要：在拖曳阵的实际应用中,特别是拖曳阵的回转运动中,需要对阵列中水听器的位置进行准确的定位。本文提出基于特征值分解的阵形估计算法,利用拖曳阵中水听器接收到的信号,在参考声源方向未知的情况下,根据牛顿-高斯迭代计算得到阵列位置。仿真分析和消声室实验的结果表明,本文提出的方法可以在阵形初始误差较大的情况下,有效地减小阵元的位置误差,得到准确的阵列形状。Advanced array processing methods require knowledge of the accurate locations of individual elements in a sensor array.This paper proposes an array shape estimation algorithm based on eigen-decomposition method,which requires no calibration sources at known localizations and yet offers an optimal array shape after a series of iterations.Numerical experiments are also presented to illustrate the performance of this technique.

关 键 词：拖曳阵 特征值分解 DOA估计 

分 类 号：TB56[交通运输工程—水声工程]