| Presentation | 2002/1/18 Radar pulse recognition using hidden Markov model Kaori KAWAKAMI, Hidetoshi TANAKA, Akitoshi MITSUISHI, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We attempt to clarify the radar source recognition capability through the radar pulse observed by sensor. Pulse data are obtained from two radars of the same type. The recognition has been tried by constructing the model and estimating the fitness. The model based on the hidden Markov model is constructed by : (1) extracting the fragments ; (2) clustering the fragments ; and (3) calculating the state-transition probabilities. Preliminary experiment showed that the recognizability is due to their carrier frequencies. Comparative experiment showed that the potential feature is indicated in the lower frequency of the pulse, since the coefficient of the moving average has some recognition capability. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sensor / Pulse recognition / Hidden Markov model |
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| Conference Information | |
| Committee | SANE |
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| Conference Date | 2002/1/18(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| 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) | Radar pulse recognition using hidden Markov model |
| Sub Title (in English) | |
| Keyword(1) | Sensor |
| Keyword(2) | Pulse recognition |
| Keyword(3) | Hidden Markov model |
| 1st Author's Name | Kaori KAWAKAMI |
| 1st Author's Affiliation | Mitsubishi Electric Corporation Information Technology R&D Center() |
| 2nd Author's Name | Hidetoshi TANAKA |
| 2nd Author's Affiliation | Mitsubishi Electric Corporation Information Technology R&D Center |
| 3rd Author's Name | Akitoshi MITSUISHI |
| 3rd Author's Affiliation | Mitsubishi Electric Corporation Information Technology R&D Center |
| Date | 2002/1/18 |
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| Volume (vol) | vol.101 |
| Number (no) | 608 |
| Page | pp.pp.- |
| #Pages | 6 |
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