Presentation 2010-01-21
A Proposal of precision pole estimation method by selection of poles from the estimated poles on excess high-order estimation system
Tomoki NAKAO, Keisuke MURATA, Hajime KUBOTA,
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Abstract(in English) The pole estimation method is actively researched to the AR system. One example includes the analysis of the FID signal in the NMR spectroscopy etc.Something that the linear predictive method is used is the main method of PEM. This method estimates poles of unknown system from the requested AR coefficient by the factorization by the linear predictive method for the AR coefficient. However, even when the error of mean square of the signal is small, the estimation accuracy of the poles is not necessarily high. Therefore, even if an degree of unknown system is already-known, accurate pole estimation is difficult. It proposes the precision pole estimation method by estimates poles of unknown system by excessively high-order estimation system compared with unknown system , selection of an best combination from estimated poles. The pole estimatin accuracy improved by using the proposal method by about 42dB compared with the conventinal method.
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Keyword(in English) pole estimation / linear Prediction / genetic algrothm
Paper # SIP2009-84,RCS2009-218
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Committee RCS
Conference Date 2010/1/14(1days)
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Registration To Radio Communication Systems (RCS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Proposal of precision pole estimation method by selection of poles from the estimated poles on excess high-order estimation system
Sub Title (in English)
Keyword(1) pole estimation
Keyword(2) linear Prediction
Keyword(3) genetic algrothm
1st Author's Name Tomoki NAKAO
1st Author's Affiliation Faculty of Engineering, Chiba Inst. of Tech.()
2nd Author's Name Keisuke MURATA
2nd Author's Affiliation Faculty of Engineering, Tokyo Univ. of Sci.
3rd Author's Name Hajime KUBOTA
3rd Author's Affiliation Faculty of Engineering, Chiba Inst. of Tech.
Date 2010-01-21
Paper # SIP2009-84,RCS2009-218
Volume (vol) vol.109
Number (no) 369
Page pp.pp.-
#Pages 6
Date of Issue