| Presentation | 2017-11-23 A Neural Network Augmented Parametric Estimation Method for Accurate Wind Vector Reconstruction Using Single Doppler LIDAR Taro Matsuo, Guanghao Sun, Tetsuo Kirimoto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Doppler light detection and ranging (LIDAR) systems measure the wind velocity along the line-of-sight direction by processing the frequency shift of received signals. These systems are useful tool for real-time wind monitoring during aircraft taking off and landing. A wind vector reconstruction method for a single LIDAR is essential for wind field visualization. The conventional velocity volume processing (VVP) and velocity azimuth display (VAD) methods have been developed for a single LIDAR model, which suffer from inaccuracy in the case of local air turbulence. To address with such problem, the neural network augmented parametric estimation method using typical turbulence models such as tornado and microburst, have been proposed in our research. Aiming at more accurate for vector reconstruction, this paper introduces the adaptively size optimization of analysis area into parametric approach. The proposed method enhances the accuracy for wind vector reconstruction in the turbulence case from a numerical simulation. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Single LIDARLocal air turbulenceNeural NetworkParametric estimation |
| Paper # | SANE2017-68 |
| Date of Issue | 2017-11-16 (SANE) |
| Conference Information | |
| Committee | SANE |
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| Conference Date | 2017/11/23(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Malaysia (Borneo Island) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | ICSANE2017 |
| Chair | Sonosuke Fukushima(ENRI) |
| Vice Chair | Toshifumi Moriyama(Nagasaki Univ.) / Akitsugu Nadai(NICT) |
| Secretary | Toshifumi Moriyama(Mitsubishi Electric) / Akitsugu Nadai(ENRI) |
| Assistant | Manabu Akita(Univ. of Electro-Comm.) / Ryo Natsuaki(Univ. of Tokyo) |
| Paper Information | |
| Registration To | Technical Committee on Space, Aeronautical and Navigational Electronics |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Neural Network Augmented Parametric Estimation Method for Accurate Wind Vector Reconstruction Using Single Doppler LIDAR |
| Sub Title (in English) | |
| Keyword(1) | Single LIDARLocal air turbulenceNeural NetworkParametric estimation |
| 1st Author's Name | Taro Matsuo |
| 1st Author's Affiliation | The University of Electro-Communications(UEC) |
| 2nd Author's Name | Guanghao Sun |
| 2nd Author's Affiliation | The University of Electro-Communications(UEC) |
| 3rd Author's Name | Tetsuo Kirimoto |
| 3rd Author's Affiliation | The University of Electro-Communications(UEC) |
| Date | 2017-11-23 |
| Paper # | SANE2017-68 |
| Volume (vol) | vol.117 |
| Number (no) | SANE-321 |
| Page | pp.pp.27-31(SANE), |
| #Pages | 5 |
| Date of Issue | 2017-11-16 (SANE) |