| Presentation | 2022-07-01 Wind field reconstruction using LIDAR measurement and EnKF data assimilation Takayuki Kitamura, Yusuke Ito, Satoshi Kageme, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, the use of consumer drones in various fields has become more active worldwide due to their higher performance and lower price. Drone flight safety is greatly affected by weather conditions, especially wind speed along the flight route. To fly drones safely for the various applications, nowcasting is necessary to accurately predict wind conditions at the time and place of drone flight. For this reason, the use of LIDAR has begun to be considered as a means of accurately determining wind speeds over drone flight areas. LIDAR performs observations by scanning laser beams in both horizontal and vertical directions in a three-dimensional observation space, but this has the disadvantage that the distance between the laser beams at a distance makes the observation data sparse with respect to the observation area. In this paper, we discuss a method to densify the sparse LIDAR wind data by signal processing, assuming that LIDAR will be used for nowcasting wind conditions along drone flight routes. The technical details of the wind field densification method and the numerical results of the study will also be presented. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Scanning LIDAR / Wind Field Prediction / Data Assimilation / Ensemble Kalman Filter |
| Paper # | SANE2022-20 |
| Date of Issue | 2022-06-24 (SANE) |
| Conference Information | |
| Committee | SANE |
|---|---|
| Conference Date | 2022/7/1(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Toshifumi Moriyama(Nagasaki Univ.) |
| Vice Chair | Makoto Tanaka(Tokai Univ.) / Takeshi Amishima(Meiji Univ.) |
| Secretary | Makoto Tanaka(ENRI) / Takeshi Amishima(Mitsubishi Electric) |
| Assistant | Shang Fang(Univ. of Electro-Comm.) |
| Paper Information | |
| Registration To | Technical Committee on Space, Aeronautical and Navigational Electronics |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Wind field reconstruction using LIDAR measurement and EnKF data assimilation |
| Sub Title (in English) | |
| Keyword(1) | Scanning LIDAR |
| Keyword(2) | Wind Field Prediction |
| Keyword(3) | Data Assimilation |
| Keyword(4) | Ensemble Kalman Filter |
| 1st Author's Name | Takayuki Kitamura |
| 1st Author's Affiliation | Mitsubishi Electric Corporation(Mitsubishi Electric Corp.) |
| 2nd Author's Name | Yusuke Ito |
| 2nd Author's Affiliation | Mitsubishi Electric Corporation(Mitsubishi Electric Corp.) |
| 3rd Author's Name | Satoshi Kageme |
| 3rd Author's Affiliation | Mitsubishi Electric Corporation(Mitsubishi Electric Corp.) |
| Date | 2022-07-01 |
| Paper # | SANE2022-20 |
| Volume (vol) | vol.122 |
| Number (no) | SANE-92 |
| Page | pp.pp.27-32(SANE), |
| #Pages | 6 |
| Date of Issue | 2022-06-24 (SANE) |