| 在有噪声时用CARV模型提高识别模态参数的精度 |
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| 引用本文： | 罗文波 王莉. 在有噪声时用CARV模型提高识别模态参数的精度[J]. 振动工程学报, 1998, 11(4): 501-506 |
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| 作者姓名： | 罗文波 王莉 |
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| 作者单位： | 哈尔滨工业大学航天工程与力学系 |
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| 摘 要： | 多维可控自回归（ＣＡＲＶ）模型对模态参数的识别精度很高，但受噪声影响却很严重，现有的方法很少考虑有噪声输入的情况而使ＣＡＲＶ方法的使用受到极大限制。本文讨论了有噪声存在的情况下，ＣＡＲＶ模型对模态参数的识别，推导了ＣＡＲＶ模型在有噪声情况下的建模公式，并通过仿真验证了方法的有效性，针对ＣＡＲＶ模型在具体应用中的一些问题进行了讨论。
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| 关 键 词： | 自回归模型；时间序列分析；参数识别；噪声 |
Improvement of the Precision of Modal Parameter Using CARV Model in Noise Condition |
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| Luo Wenbo Wang Li Tu Liangyao Xia Songbo Zou Jingxiang. Improvement of the Precision of Modal Parameter Using CARV Model in Noise Condition[J]. Journal of Vibration Engineering, 1998, 11(4): 501-506 |
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| Authors: | Luo Wenbo Wang Li Tu Liangyao Xia Songbo Zou Jingxiang |
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| Abstract: | The precision of control average regression vector (CARV) model for parameter identification is quite high, but it is affected seriously by noise. The input noise condition are rarely considered by the existed methods, therefore the CARV method is mostly restricted in its applications. The parameter identification with CARV model is mainly discussed in this paper, and the modeling formula of CARV model in those noisy conditions are deduced. Simulations demonstrated the validity of the method. Some problems of CARV model in practical application are discussed in the paper. |
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| Keywords: | autoregressive model time series analysis parameter identification noise |
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