Presentation 2008-05-23
Sensor Scheduling with Extended Kalman Filter and its Experimental Evaluation
Takashi TAKEDA, Toru NAMERIKAWA,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper deals with a sensor scheduling methodology with extended kalman filter and its experimental evalution. The proposed scheduling algorithm with extended kalman filter is an optimal solution of selecting sensor nodes for dynamical system with noise. Experimental results show effectiveness of proposed sensor scheduling method.
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Keyword(in English) Sensor network / Sensor scheduling / Extended Kalman Filter / LQR control
Paper # NC2008-3
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Committee NC
Conference Date 2008/5/16(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Sensor Scheduling with Extended Kalman Filter and its Experimental Evaluation
Sub Title (in English)
Keyword(1) Sensor network
Keyword(2) Sensor scheduling
Keyword(3) Extended Kalman Filter
Keyword(4) LQR control
1st Author's Name Takashi TAKEDA
1st Author's Affiliation Graduate School of Natural & Technology, Kanazawa University()
2nd Author's Name Toru NAMERIKAWA
2nd Author's Affiliation Graduate School of Natural & Technology, Kanazawa University
Date 2008-05-23
Paper # NC2008-3
Volume (vol) vol.108
Number (no) 54
Page pp.pp.-
#Pages 4
Date of Issue