| Presentation | 2017-06-02 Realtime 3D image reconstruction methods based on compressive sensing with CUDA support Iakov Chernyak, Motoyuki Sato, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We developed a number of GPU optimized 3D radar image reconstruction algorithms and applied it for the 3D sparse array radar with 16 transmitters and 16 receivers. The radar uses SFCW with frequency bandwidth from 270MHz to 8GHz, it allows to reconstruct image without scan within 64x45 cm with azimuthal resolution 5 cm, and within distance of 300 cm with range resolution of 3 cm. The least square image reconstruction algorithm with CUDA support allows to achieve 0.75 volumetric images per second, that allows to use the radar in real-time mode. We showed that GPU usage boosts the calculation more than 100 times comparing to the calculation on CPU. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | CUDA / GPU / 3D image reconstruction / Sparse Array Radar / Compressive Sensing |
| Paper # | EMT2017-3 |
| Date of Issue | 2017-05-26 (EMT) |
| Conference Information | |
| Committee | EMT / IEE-EMT |
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| Conference Date | 2017/6/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Nihon University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Electromagnetic Theory, etc. |
| Chair | Akira Hirose(Univ. of Tokyo) / Keiji Goto(NDA) |
| Vice Chair | Koichi Hirayama(Kitami Inst. of Tech.) |
| Secretary | Koichi Hirayama(Univ. of Hyogo) / (Tokyo Metro. Coll. of Tech) |
| Assistant | Tsuyoshi Matsuoka(Kyushu Sangyo Univ.) / Yoshihiro Naka(Kyushu Univ. of Health and Welfare) |
| Paper Information | |
| Registration To | Technical Committee on Electromagnetic Theory / Technical Meeting on Electromagnetic Theory |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Realtime 3D image reconstruction methods based on compressive sensing with CUDA support |
| Sub Title (in English) | |
| Keyword(1) | CUDA |
| Keyword(2) | GPU |
| Keyword(3) | 3D image reconstruction |
| Keyword(4) | Sparse Array Radar |
| Keyword(5) | Compressive Sensing |
| 1st Author's Name | Iakov Chernyak |
| 1st Author's Affiliation | Tohoku University(Tohoku Univ.) |
| 2nd Author's Name | Motoyuki Sato |
| 2nd Author's Affiliation | Tohoku University(Tohoku Univ.) |
| Date | 2017-06-02 |
| Paper # | EMT2017-3 |
| Volume (vol) | vol.117 |
| Number (no) | EMT-74 |
| Page | pp.pp.19-24(EMT), |
| #Pages | 6 |
| Date of Issue | 2017-05-26 (EMT) |