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
收藏
页码：1024 / 1029
页数：6
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