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Paper Abstract and Keywords
Presentation 2006-01-20 10:00
Best Linear Unbiased Estimator (BLUE) Using Estimate of Observation Noise Variance in Wireless Sensor Networks
Takahiro Fujita (Tokyo University of Science), Tomoaki Ohtsuki (Keio Univ.), Toshinobu Kaneko (Tokyo University of Science)
Abstract (in Japanese) (See Japanese page) 
(in English) Best Linear Unbiased Estimator (BLUE) is one of the decentralized estimation method in sensor networks. When fusion center (FC) has the knowledge of observation noise variance of each sensor, the BLUE can estimate the observation event with high accuracy by weighting the received values by observation noise variance of each sensor. However, it is not practical to assume that FC always knows all the observation noise variances. In this report, we propose the method to estimate the observation noise variances at fusion center, and present the performance of BLUE with the estimated variances of observation noise. We show that the BLUE with the estimated observation noise variances achieves almost the same bit error rate (BER) as the conventional BLUE with perfect knowledge of the observation noise variances.
Keyword (in Japanese) (See Japanese page) 
(in English) Wireless Sensor Network / Decentralized detection / Best Linear Unbiased Estimator / Observation noise variance / / / /  
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Conference Information
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Conference Date 2006-01-19 - 2006-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Denki University Kanda Campus 
Topics (in Japanese) (See Japanese page) 
Topics (in English) 3rd Sensor Network Conference 
Paper Information
Registration To SN 
Conference Code 2006-01-SN 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Best Linear Unbiased Estimator (BLUE) Using Estimate of Observation Noise Variance in Wireless Sensor Networks 
Sub Title (in English)  
Keyword(1) Wireless Sensor Network  
Keyword(2) Decentralized detection  
Keyword(3) Best Linear Unbiased Estimator  
Keyword(4) Observation noise variance  
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1st Author's Name Takahiro Fujita  
1st Author's Affiliation Tokyo University of Science (Tokyo University of Science)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
3rd Author's Name Toshinobu Kaneko  
3rd Author's Affiliation Tokyo University of Science (Tokyo University of Science)
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Speaker Author-1 
Date Time 2006-01-20 10:00:00 
Presentation Time 25 minutes 
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