Presentation 2003/2/21
Variances of the Steady State erro for 3 Dimensional Radar Tracking
Yoshio KOSUGE, Masayoshi ITO,
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Abstract(in English) It is important for tracking to estimate tracking accuracy of the steady state. In this paper, we derive equations of the steady 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.
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Keyword(in English) tracking filter / Kalman filter / α-βfilter / steady state errors / radar
Paper # SANE2002-86,SAT2002-168
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Committee SAT
Conference Date 2003/2/21(1days)
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Registration To Satellite Telecommunications (SAT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Variances of the Steady State erro for 3 Dimensional Radar Tracking
Sub Title (in English)
Keyword(1) tracking filter
Keyword(2) Kalman filter
Keyword(3) α-βfilter
Keyword(4) steady state errors
Keyword(5) radar
1st Author's Name Yoshio KOSUGE
1st Author's Affiliation Information Techonology RD center, Mitsubishi eletric corporation()
2nd Author's Name Masayoshi ITO
2nd Author's Affiliation Information Techonology RD center, Mitsubishi eletric corporation
Date 2003/2/21
Paper # SANE2002-86,SAT2002-168
Volume (vol) vol.102
Number (no) 666
Page pp.pp.-
#Pages 6
Date of Issue