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 Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | tracking filter / Kalman filter / α-βfilter / steady state errors / radar |
Paper # | SANE2002-86,SAT2002-168 |
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Committee | SAT |
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Conference Date | 2003/2/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Satellite Telecommunications (SAT) |
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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 |
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