Presentation | 2007-01-19 Target Tracking Using TDOA/FDOA Measurements in the Distributed Sensor Network Yuki TAKABAYASHI, Hiroshi KAMEDA, Masayoshi ITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper proposes an use of Extended Kalman filter for a single target tracking in a distributed sensor network. A conventional algorithm, target localization through TDOA(Time Difference of Arrival) measurements and linear Kalman filter cannot give full performance due to a multipath phenomenon. In our algorithm, the Extended Kalman filter uses TDOA and FDOA(Frequency Difference of Arrival) measurements directly to compute the position and velocity estimates. Through computer simulation trials, the validity of our algorithm is examined. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Radars / Tracking / Extended Kalman Filter / TDOA / FDOA |
Paper # | SANE2006-125 |
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Committee | SANE |
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Conference Date | 2007/1/12(1days) |
Place (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) | Target Tracking Using TDOA/FDOA Measurements in the Distributed Sensor Network |
Sub Title (in English) | |
Keyword(1) | Radars |
Keyword(2) | Tracking |
Keyword(3) | Extended Kalman Filter |
Keyword(4) | TDOA |
Keyword(5) | FDOA |
1st Author's Name | Yuki TAKABAYASHI |
1st Author's Affiliation | Information Technology R&D Center Mitsubishi Electric Co.() |
2nd Author's Name | Hiroshi KAMEDA |
2nd Author's Affiliation | Information Technology R&D Center Mitsubishi Electric Co. |
3rd Author's Name | Masayoshi ITO |
3rd Author's Affiliation | Information Technology R&D Center Mitsubishi Electric Co. |
Date | 2007-01-19 |
Paper # | SANE2006-125 |
Volume (vol) | vol.106 |
Number (no) | 471 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |