Engine dynamics identification in the case of non-uniformly sampled data

被引：0

作者：

Boubal, O ^{[1
]}

Lahalle, E ^{[1
]}

Nita, L ^{[1
]}

机构：

[1] Ecole Super Elect, Dept Measurement, F-91192 Gif Sur Yvette, France

来源：

IMTC/2000: PROCEEDINGS OF THE 17TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE: SMART CONNECTIVITY: INTEGRATING MEASUREMENT AND CONTROL | 2000年

关键词：

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Irregular sampling occurs in several applications such as geophysics, Laser Doppler Anemometry or engine control. In this paper a new parametric spectral estimation method is addressed. It is based on a continuous time ARMA model of the signal. A specific inversion criterion is defined to estimate spectral parameters. This criterion is based on the difference between two estimators of the correlation function. A specific algorithm has been designed to minimize this criterion. The whole procedure is applied to space-time conversion in the automotive field. Results show good performances even when the mean sampling frequency is below the Nyquist frequency.

引用

页码：1024 / 1029

页数：6

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