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论文:2014,Vol:32,Issue(3):486-490 |
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引用本文： |
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谭博, 侯玉, 郑华, 裴承鸣. 一种改进的矩阵束模态参数估计方法[J]. 西北工业大学 |
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Tan Bo, Hou Yu, Zheng Hua, Pei Chengming. An Improved Matrix Pencil Algorithm for Modal Parameter Identification[J]. Northwestern polytechnical university |
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| 一种改进的矩阵束模态参数估计方法 |
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| 谭博1, 侯玉2, 郑华1, 裴承鸣1 |
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1. 西北工业大学 数据处理中心, 陕西 西安 710072;
2. 中航工业西安飞机集团有限责任公司, 陕西 西安 710089 |
| 摘要: |
| 矩阵束是一种常用的系统模态参数估计方法,在观测信号信噪比较低的情况下较难取得理想的结果。通过引入随机减量技术来改善实测信号的品质,进而得到了一种改进的矩阵束方法,并应用蒙特卡罗方法对信噪比变化、算法参数影响等计算性能进行了统计分析。经与传统方法对比,文中所给出的改进矩阵束方法可以有效地提高模态参数估计的精度。 |
| 关键词:
矩阵束
随机减量
蒙特卡罗
模态参数识别
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| An Improved Matrix Pencil Algorithm for Modal Parameter Identification |
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| Tan Bo1, Hou Yu2, Zheng Hua1, Pei Chengming1 |
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1. Data Processing Center, Northwestern Polytechnical University, Xi'an 710072, China;
2. AVIC Xi'an Aircraft Industry(Group) Company Ltd., Xi'an 710089, China |
| Abstract: |
| Being a commonly used modal parameter estimation algorithm, matrix pencil's numerical performance can be easily affected by noise. This paper introduced random decrement technology into matrix pencil algorithm. The results and their analysis showed preliminarily that this method can improve its accuracy and has some advanta-ges compared with other preprocessing method such as band-pass filter. |
| Key words:
algorithms
bandpass filters
calculations
damping
identification (control systems)
matrix algebra
Monte Carlo methods
parameter estimation
signal to noise ratio
singular value decomposition
matrix pencil
modal parameter identification
random decrement technology
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| 收稿日期: 2013-09-26
修回日期:
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| DOI: |
| 基金项目: 国家自然科学基金(11302175)资助 |
| 通讯作者:
Email： |
| 作者简介: 谭博(1987-),西北工业大学博士研究生,主要从事信号信息处理的研究。
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| 相关功能 |
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| 作者相关文章 |
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| 谭博 在本刊中的所有文章 |
| 侯玉 在本刊中的所有文章 |
| 郑华 在本刊中的所有文章 |
| 裴承鸣 在本刊中的所有文章 |
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