Presentation 1998/1/30
Comparison of α-β Filters Derived From Kalman Filters
Yoshio KOSUGE, Hiroshi KAMEDA,
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Abstract(in English) In this paper, comparison of five different radar tracking filters using the α-β filters which are derived from Kalman filter equations or fading memory filter equations is presented. Five different α-β filters are evaluated in terms of tracking accuracy of predicted position for a constant velocity target under the condition that tracking accuracy of predicted position for a maneuvering target is the same. We present that the best α-β filter among them is the tracking filter which is derived from Kalman filter equations using random acceleration model. Here, random acceleration model is one which assumes the process noise to be a zero mean random acceleration.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Kalman filter / α-β filter / tracking filter / radar
Paper # SANE97-124
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Conference Information
Committee SANE
Conference Date 1998/1/30(1days)
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Paper Information
Registration To Space, Aeronautical and Navigational Electronics (SANE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Comparison of α-β Filters Derived From Kalman Filters
Sub Title (in English)
Keyword(1) Kalman filter
Keyword(2) α-β filter
Keyword(3) tracking filter
Keyword(4) radar
1st Author's Name Yoshio KOSUGE
1st Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corporation()
2nd Author's Name Hiroshi KAMEDA
2nd Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corporation
Date 1998/1/30
Paper # SANE97-124
Volume (vol) vol.97
Number (no) 523
Page pp.pp.-
#Pages 8
Date of Issue