摘要
对经验模态分解算法(EMD算法)进行深入研究,对其基本原理、基本性质以及存在的问题进行分析。为改善EMD算法在方位估计的精度,减少高频噪声、间断干扰的影响,本文采用Hilbert-Huang变换方法来消除模态混叠现象。实验结果表明,本文提出的基于EMD的矢量水声器方位估计算法,能够有效提高方位估计的精度。
In this paper, the empirical mode decomposition method (EMD algorithm ) was conducted, the basic principles and the basic nature of problems the EMD was also analyzed. In order to improve the accuracy of the estimated position, reduce high-frequency noise and the impact of intermittent interference, we use the Hilbert-Huang transform method to eliminate aliasing modes. Experimental results show that the proposed method using vector hydrophone based EMD estimation algorithm can effectively improve the accuracy of the estimated position.
出处
《舰船科学技术》
北大核心
2015年第5期152-154,162,共4页
Ship Science and Technology
关键词
矢量水声器
方位估计
vector hydrophone
azimuth angle estimation
EMD
Hilbert-Huang