Project/Area Number |
22H01490
|
Research Category |
Grant-in-Aid for Scientific Research (B)
|
Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 21020:Communication and network engineering-related
|
Research Institution | The University of Aizu |
Principal Investigator |
呂 国偉 会津大学, コンピュータ理工学部, 上級准教授 (30599709)
|
Co-Investigator(Kenkyū-buntansha) |
品田 聡 国立研究開発法人情報通信研究機構, ネットワーク研究所フォトニックICT研究センター, 研究マネージャー (00392720)
千葉 明人 群馬大学, 大学院理工学府, 准教授 (30435789)
坂本 高秀 東京都立大学, システムデザイン研究科, 准教授 (70392727)
|
Project Period (FY) |
2022-04-01 – 2026-03-31
|
Project Status |
Granted (Fiscal Year 2023)
|
Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2023: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2022: ¥6,890,000 (Direct Cost: ¥5,300,000、Indirect Cost: ¥1,590,000)
|
Keywords | Four-wave Mixing / Coherent LiDAR / Optical Comb / Machine Learning |
Outline of Research at the Start |
We apply our developed pump-phase-noise-free optical multicast to generate low phase-noise multiple light sources for long-range and parallel coherent LiDARs. Moreover, by configuring the pump in multicast through inverse system design, the scale of light sources could be intelligently-tailored.
|