Information Fusion Identification Method for ARMA Signal with Colored Measurement Noise

被引：0
|
作者：
Zhang, Mingbo [1 ]
机构：
[1] Heilongjiang Univ, Dept Elect Engn, Harbin, Peoples R China
来源：
PROCEEDINGS OF 2013 2ND INTERNATIONAL CONFERENCE ON MEASUREMENT, INFORMATION AND CONTROL (ICMIC 2013), VOLS 1 & 2 | 2013年
关键词：
component; noise variance; multi-stage identification method; information fusion parameter estimation;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For the multi-sensor single-channel autoregressive moving average(ARMA) signals with colored measurement noises, common disturbance noise, and with unknown model parameters and noise variances, a multi-stage identification method is presented. Particularly, the multi-sensor system identification problem in noisy environment has important theoretical and application significance.
引用
收藏
页码：384 / 388
页数：5
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