Project/Area Number |
23K22760
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Project/Area Number (Other) |
22H01490 (2022-2023)
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Multi-year Fund (2024) Single-year Grants (2022-2023) |
Section | 一般 |
Review Section |
Basic Section 21020:Communication and network engineering-related
|
Research Institution | Kyushu University (2022, 2024) The University of Aizu (2023) |
Principal Investigator |
呂 国偉 九州大学, 先導物質化学研究所, 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
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Project Status |
Granted (Fiscal Year 2024)
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Budget Amount *help |
¥17,420,000 (Direct Cost: ¥13,400,000、Indirect Cost: ¥4,020,000)
Fiscal Year 2025: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2024: ¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
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)
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Keywords | Four-wave Mixing / Coherent LiDAR / Optical Comb / Machine Learning / parallel LiDAR / Optical comb source / Four-wave mixing |
Outline of Research at the Start |
We employ our developed pump-phase-noise-free optical multicast technique to generate multiple low phase-noise light sources optimized for long-range and parallel coherent LiDAR applications. Furthermore, through strategic pump configuration within a multicast setup via inverse system design, we achieve intelligent scalability, facilitating tailored scaling of the light sources.
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Outline of Annual Research Achievements |
We have published 7 international journal papers and 6 international conference papers. Notably, our work in APL Photonics has garnered recognition as exemplary research in optoelectronics, selected for "High-Quality Research in Optoelectronics" by the journal. In this pursuit, we've successfully designed and fabricated an ultrafast electro-optic modulator via the heterogeneous integration of silicon and thin-film lithium niobate. Additionally, we've developed an algorithm for controlling pump wavelengths, aimed at intelligently scaling multiple laser sources for LiDAR systems.
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Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
The project is proceeding smoothly under our management. We have successfully developed the algorithm essential for our proposed system. Additionally, we've acquired the necessary instruments and components to facilitate our experimental demonstrations.
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Strategy for Future Research Activity |
In the upcoming year, our focus will be on designing a silicon nitride-based microring resonator to generate the optical comb source crucial for our proposed LiDAR system. Furthermore, we plan to design and fabricate high-speed silicon polymer hybrid EO modulators to enable chirp modulation in the LiDAR systems.
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