Presentation 2016-10-20
Bias Estimation for Distributed Sensor Data Fusion
Hidetoshi Furukawa,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In multi-sensor data fusion, sensor biases (or offsets) often affect the accuracy of the correlation and integration results of the tracking targets. Therefore, to estimate and correct the bias, several methods are proposed. One conducts bias estimation and data fusion simultaneously by using Kalman filter after collecting the plot data together. Another fuses the track data prepared by Kalman filtering at each distributed sensor site. This report proposes the new bias estimation method based on multi-agent model, in order to estimate and correct the bias for distributed sensor data fusion.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) sensor network / data fusion / bias / multi-agent
Paper # SANE2016-41
Date of Issue 2016-10-13 (SANE)

Conference Information
Committee SANE
Conference Date 2016/10/20(2days)
Place (in Japanese) (See Japanese page)
Place (in English) OIT UMEKITA Knowledge Center
Topics (in Japanese) (See Japanese page)
Topics (in English) Radar signal processing, Remote Sensing and general issues
Chair Hirokazu Kobayashi(Osaka Inst. of Tech.)
Vice Chair Takahide Mizuno(JAXA) / Toshifumi Moriyama(Nagasaki Univ.)
Secretary Takahide Mizuno(JAXA) / Toshifumi Moriyama(Mitsubishi Electric)
Assistant Atsushi Kezuka(ENRI) / Manabu Akita(Univ. of Electro-Comm.)

Paper Information
Registration To Technical Committee on Space, Aeronautical and Navigational Electronics
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Bias Estimation for Distributed Sensor Data Fusion
Sub Title (in English) Bias Estimation Method Based on Multi-Agent Model
Keyword(1) sensor network
Keyword(2) data fusion
Keyword(3) bias
Keyword(4) multi-agent
1st Author's Name Hidetoshi Furukawa
1st Author's Affiliation Toshiba Corporation(Toshiba)
Date 2016-10-20
Paper # SANE2016-41
Volume (vol) vol.116
Number (no) SANE-252
Page pp.pp.13-16(SANE),
#Pages 4
Date of Issue 2016-10-13 (SANE)