| Presentation | 2002/8/23 An algorithm of smoothing for velocity vector in target tracking Takashi MASTUZAKI, MASAYOSHI Ito, Yoshio KOSUGE, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | One of important problems to be solved in target tracking is to predict an orbit of target such as ship or airplane which is observed by radar, optical sensor and so on. In the orbit prediction, the performance of the orbit prediction is subject to a velocity vector of tracking filter which is an initial value for the orbit prediction. For that reason, it is important to improve the precision of the velocity vector. In this paper, we propose 2 methods for improving the precision of the velocity vector. First method is that a recalculation of smoothing vector goes back to a several sampling from the present time. Second is that a filter gain of the direction of the perpendicular velocity vector keeps lower than that of the direction of velocity vector. The effectiveness of the proposed method is confirmed through computer simulation. The results of the computer simulation indicate that the proposed method accomplished 50 percent reduction of the smoothing velocity errors compared with the conventional method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Kalman Filter / Target Tracking / Smoothing / Filter gain / Radar / Orbit prediction |
| Paper # | SANE2002-46 |
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| Conference Information | |
| Committee | SANE |
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| Conference Date | 2002/8/23(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Space, Aeronautical and Navigational Electronics (SANE) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An algorithm of smoothing for velocity vector in target tracking |
| Sub Title (in English) | |
| Keyword(1) | Kalman Filter |
| Keyword(2) | Target Tracking |
| Keyword(3) | Smoothing |
| Keyword(4) | Filter gain |
| Keyword(5) | Radar |
| Keyword(6) | Orbit prediction |
| 1st Author's Name | Takashi MASTUZAKI |
| 1st Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation() |
| 2nd Author's Name | MASAYOSHI Ito |
| 2nd Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation |
| 3rd Author's Name | Yoshio KOSUGE |
| 3rd Author's Affiliation | Information Technology R&D Center, Mitsubishi Electric Corporation |
| Date | 2002/8/23 |
| Paper # | SANE2002-46 |
| Volume (vol) | vol.102 |
| Number (no) | 293 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |