Presentation 2003/2/21
Variances of the Steady State Error for 3 Dimensional Radar Tracking
Yoshio KOSUGE, Masayoshi ITO,
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Abstract(in English) lt is important for tracking to estimate tracking accuracy of the steady state. In this paper, we derive equations of the teady state error covariance matrix of a 3-dimensional radar tracking filter for a constant velocity target. The derived covariance matrix cannot be obtained from Kalman filter equations, because a Kalman filter assumes that there exist driven noises. An α-β filter is widely used in the one dimensional space. We also make clear that the derived steady state covariance matrix is the extension of the steady state errors of the predicted position of an α-β filter.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) tracking filter / Kalman filter / α-β filter / steady state errors / radar
Paper # SANE2002-86,SAT2002-168
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Committee SANE
Conference Date 2003/2/21(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) Variances of the Steady State Error for 3 Dimensional Radar Tracking
Sub Title (in English)
Keyword(1) tracking filter
Keyword(2) Kalman filter
Keyword(3) α-β filter
Keyword(4) steady state errors
Keyword(5) radar
1st Author's Name Yoshio KOSUGE
1st Author's Affiliation Information Technology R&D Center, Mitsubishi Electric Corporation /()
2nd Author's Name Masayoshi ITO
2nd Author's Affiliation
Date 2003/2/21
Paper # SANE2002-86,SAT2002-168
Volume (vol) vol.102
Number (no) 665
Page pp.pp.-
#Pages 6
Date of Issue