TLS algorithm-based study on multi-functional sensor data reconstruction

被引：0
|
作者：
Liu, D [1 ]
Sun, JW [1 ]
Liu, X [1 ]
机构：
[1] Harbin Inst Technol, Dept Automat Measurement & Control, Harbin 150001, Peoples R China
来源：
ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3 | 2003年
关键词：
Total-Least Square algorithm; Moore-Penrose matrix; measurand reconstruction;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel method about multi-functional sensor measurand reconstruction is brought forward, which is based on Total-Least Square algorithm and the general reverse function of Moore-Penrose Matrix. It evaluates both the sensor output bias and sensor input error. Emulation results indicate that the proposed algorithm is more accurate and reliable for measurand reconstruction.
引用
收藏
页码：1197 / 1200
页数：4
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