| Project/Area Number |
16K18110
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Communication/Network engineering
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| Research Institution | Mie University (2018)
Akashi National College of Technology (2016-2017) |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2019-03-31
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| Project Status |
Completed (Fiscal Year 2018)
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| Budget Amount *help |
¥4,030,000 (Direct Cost: ¥3,100,000、Indirect Cost: ¥930,000)
Fiscal Year 2018: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2017: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
Fiscal Year 2016: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
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| Keywords | コグニティブ無線 / 無線信号処理 / 無線信号検出 / スペクトルセンシング / 無線通信方式・機器 / 信号処理 |
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| Outline of Final Research Achievements |
Energy detection based spectrum sensing technique with selection diversity combining technique was proposed in this study. The proposed scheme has observation period and sensing period. The observation period is to obtain a test statistic for the selection of receive antenna element, and the sensing period is to detect the target signal using selected receive antenna elements. Test statistics obtained at both periods are employed for signal detection. The proposed technique can improve the performance of signal detection with a low computational complexity.
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| Academic Significance and Societal Importance of the Research Achievements |
従来技術では素子選択基準設計などに関する研究が多く発表されてきたが，従来技術を実システム上で活用するときには，素子選択にある程度の時間を要することは明らかであるにも関わらず，素子選択時間に関する検討はこれまで成されていなかった．本研究では総センシング時間における素子選択時間と信号検出精度の関係を明確にし，信号検出精度改善を目指した素子選択時間の最適設計法を確立できている．
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