Presentation 2011-01-27
Adaptive Gain Non-process-noise Tracking Method Using a Constant Velocity Model
Takurin SOU, Yoshio KOSUGE, ISAMU Matsunami,
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Abstract(in English) The discussion of selecting filter parameters for radar tracking using an NP (Non-process noise) is presented. In this paper, prediction (state estimate extrapolation) is carried out in the NEU (North-East-Up) coordinates and filtering (state estimate update) is carried out in the Radar Cartesian coordinates. Here, one of the Radar Cartesian coordinates is aligned to the radar-target line. We select velocity filter gain as a function of target range in order to obtain better random noise suppression for a long range target and to obtain better track maintenance capability for a short range target.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Kalman filter / α-β filter / tracking filter / NP filter
Paper # SANE2010-138
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Committee SANE
Conference Date 2011/1/20(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) Adaptive Gain Non-process-noise Tracking Method Using a Constant Velocity Model
Sub Title (in English)
Keyword(1) Kalman filter
Keyword(2) α-β filter
Keyword(3) tracking filter
Keyword(4) NP filter
1st Author's Name Takurin SOU
1st Author's Affiliation Graduate School of Science and Tecnology, NAGASAKI University()
2nd Author's Name Yoshio KOSUGE
2nd Author's Affiliation Graduate School of Science and Tecnology, NAGASAKI University
3rd Author's Name ISAMU Matsunami
3rd Author's Affiliation Graduate School of Science and Tecnology, NAGASAKI University
Date 2011-01-27
Paper # SANE2010-138
Volume (vol) vol.110
Number (no) 390
Page pp.pp.-
#Pages 6
Date of Issue