NDLI: Parameter and time-delay identification for MISO-FIR systems based on the orthogonal matching pursuit algorithm

Content Provider	IEEE Xplore Digital Library
Author	Taiyang Tao Yanjun Liu
Copyright Year	2015
Description	Author affiliation: Key Lab. of Adv. Process Control for Light Ind. (Minist. of Educ.), Jiangnan Univ., Wuxi, China (Taiyang Tao) \|\| Sch. of Internet of Things Eng., Jiangnan Univ., Wuxi, China (Yanjun Liu)
Abstract	This paper considers the identification problem of the multiple-input single-output finite impulse response (MISO-FIR) systems with unknown time-delays and orders. For an MISO-FIR system with a large number of inputs and unknown input time-delays, the corresponding mathematical model contains a large number of parameters, requiring a large number of observations for identification, and leading to a heavy computation burden. Inspired by the compressed sensing theory, this paper presents a threshold orthogonal matching pursuit algorithm to simultaneously identify the parameters, orders and time-delays of the MISO-FIR systems. The proposed method requires only a small number of sampling data compared to the conventional identification methods such as the least square method. A simulation example is given to illustrate the effectiveness of the proposed algorithm.
Starting Page	6296
Ending Page	6299
File Size	122016
Page Count	4
File Format	PDF
e-ISBN	9781479970179
DOI	10.1109/CCDC.2015.7161948
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Parameter estimation Conferences Computational modeling sparse Matching pursuit algorithms Estimation time-delay estimation gradient projection pursuit algorithm Mathematical model Compressed sensing parameter identification
Content Type	Text
Resource Type	Article

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