Tan, A. H. (Ai Hui), Godfrey, Keith R. and Barker, H. A. (2009) Design of ternary signals for MIMO identification in the presence of noise and nonlinear distortion. IEEE Transactions on Control Systems Technology, Vol.17 (No.4). pp. 926-933. doi:10.1109/TCST.2009.2012424

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Abstract

A new approach to designing sets of ternary periodic signals with different periods for multi-input multi-output system identification is described. The signals are pseudo-random signals with uniform nonzero harmonics, generated from Galois field GF(q), where q is a prime or a power of a prime. The signals are designed to be uncorrelated, so that effects of different inputs can be easily decoupled. However, correlated harmonics can be included if necessary, for applications in the identification of ill-conditioned processes. A design table is given for q les 31. An example is presented for the design of five uncorrelated signals with a common period N = 168 . Three of these signals are applied to identify the transfer function matrix as well as the singular values of a simulated distillation column. Results obtained are compared with those achieved using two alternative methods.

Item Type:	Journal Article
Alternative Title:	Design of ternary signals for multiple-input and multiple-output identification in the presence of noise and nonlinear distortion
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Science > Engineering
Library of Congress Subject Headings (LCSH):	MIMO systems -- Research, Signal processing -- Digital techniques, System identification -- Research, Transfer functions -- Research, Galois theory, Wireless communication systems
Journal or Publication Title:	IEEE Transactions on Control Systems Technology
Publisher:	IEEE
ISSN:	1063-6536
Official Date:	23 June 2009
Dates:	Date Event 23 June 2009 Published
Volume:	Vol.17
Number:	No.4
Number of Pages:	8
Page Range:	pp. 926-933
DOI:	10.1109/TCST.2009.2012424
Status:	Peer Reviewed
Access rights to Published version:	Open Access
Funder:	Malaysia. Kementerian Sains, Teknologi dan Inovasi (MOTSI)
Grant number:	03-02-01-SF004

Data sourced from Thomson Reuters' Web of Knowledge

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