Project/Area Number |
26420346
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Communication/Network engineering
|
Research Institution | Niigata University |
Principal Investigator |
|
Co-Investigator(Kenkyū-buntansha) |
辻 宏之 国立研究開発法人情報通信研究機構, 経営企画部企画戦略室, プランニングマネージャー (80358952)
西森 健太郎 新潟大学, 自然科学系, 准教授 (90500611)
|
Co-Investigator(Renkei-kenkyūsha) |
NISHIMORI Kentaro 新潟大学, 自然科学系, 准教授 (90500611)
|
Project Period (FY) |
2014-04-01 – 2017-03-31
|
Project Status |
Completed (Fiscal Year 2016)
|
Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
|
Keywords | MIMOレーダ / ドップラレーダ / 2次元位置推定 / 仮想アレー / 到来方向推定 / 人物検出 / マルチパス伝搬 / 移動物体検出 / 屋内位置推定 / モーションセンシング |
Outline of Final Research Achievements |
The main objective in this research was a realization of human detection in multipath indoor environment by using MIMO Doppler radar. The indoor human location estimation has been considered as a serious problem because of strong multipath by the wall and so forth. In this research we constructed the MIMO Doppler radar based on Linear FM, and demonstrated that micro-Doppler effect caused by the motion of human can be clearly detected and extracted. This enable us to discriminate human echo and multipath echo. In addition, we proposed a new virtual array technique based on the MIMO and Khatri-Rao processing. This technique can further enhancement of effective array length hence angular resolution can be improved.
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