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

Dan Liu; Jinwei Sun; Xin Liu

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

Dan Liu^*
, Jinwei Sun
, Xin Liu

^*Corresponding author for this work

School of Instrumentation Science and Engineering

Harbin Institute of Technology

Research output: Contribution to journal › Conference article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	1197-1200
Number of pages	4
Journal	Journal of Electronic Measurement and Instrumentation
Volume	2
State	Published - 2004
Event	Conference Proceedings of the Sixth International Conference on Electronic Measurement and Instruments - Taiyuan, China Duration: 18 Aug 2003 → 21 Aug 2003

Keywords

Measurand reconstruction.
Moore-Penrose matrix
Total-Least Square algorithm

Cite this

@article{479d37392ffc428da2f3900ca1e350a7,

title = "TLS algorithm-based study on multi-functional sensor data reconstruction",

abstract = "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.",

keywords = "Measurand reconstruction., Moore-Penrose matrix, Total-Least Square algorithm",

author = "Dan Liu and Jinwei Sun and Xin Liu",

year = "2004",

language = "英语",

volume = "2",

pages = "1197--1200",

journal = "Journal of Electronic Measurement and Instrumentation",

issn = "1000-7105",

publisher = "Editorial Office of EMI Journal",

note = "Conference Proceedings of the Sixth International Conference on Electronic Measurement and Instruments ; Conference date: 18-08-2003 Through 21-08-2003",

}

TY - JOUR

T1 - TLS algorithm-based study on multi-functional sensor data reconstruction

AU - Liu, Dan

AU - Sun, Jinwei

AU - Liu, Xin

PY - 2004

Y1 - 2004

N2 - 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.

AB - 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.

KW - Measurand reconstruction.

KW - Moore-Penrose matrix

KW - Total-Least Square algorithm

UR - https://www.scopus.com/pages/publications/2942716792

M3 - 会议文章

AN - SCOPUS:2942716792

SN - 1000-7105

VL - 2

SP - 1197

EP - 1200

JO - Journal of Electronic Measurement and Instrumentation

JF - Journal of Electronic Measurement and Instrumentation

T2 - Conference Proceedings of the Sixth International Conference on Electronic Measurement and Instruments

Y2 - 18 August 2003 through 21 August 2003

ER -

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

Abstract

Keywords

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