| Project/Area Number |
26889050
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| Research Category |
Grant-in-Aid for Research Activity Start-up
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| Allocation Type | Single-year Grants |
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| Research Field |
Communication/Network engineering
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| Research Institution | Akita Prefectural University |
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Principal Investigator |
桂 冠 秋田県立大学, システム科学技術学部, 研究員 (80734904)
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| Project Period (FY) |
2014-08-29 – 2016-03-31
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| Project Status |
Discontinued (Fiscal Year 2015)
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| Budget Amount *help |
¥2,730,000 (Direct Cost: ¥2,100,000、Indirect Cost: ¥630,000)
Fiscal Year 2015: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2014: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | compressive sensing / adaptive filter / channel estimation / sparse constraint / 先端的通信 / 圧縮センシング / 情報通信工学 / 圧縮チャネル推定 / スパース適応チャネル推定 / スパース適応フィルタ / 非ガウス雑音 |
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| Outline of Annual Research Achievements |
Adaptive sparse channel estimation techniques have been studied in different wireless communication systems. To reduce computational complexity and to achieve the robustness in different noise environment, in this project, our research results are summarized as follows:
1) Based on the D-scale channel model, we proposed two algorithms: sparse normalized least mean fourth (NLMF) algorithm and mixed least square/fourth (LMS/F) algorithm. The two proposed algorithms can take advantage of the channel sparsity in the D-scale channel. Computer simulation results have been provided to confirm the effectiveness of the proposed algorithms.
2) Based on the non-Gaussian noise model, we proposed a kinds of stable sparse sign least mean square (SLMS) algorithms to mitigate impulsive noise and to exploit channel sparsity. Representative simulations have been given to validate the proposed algorithms. In addition, regularization parameter selection for the proposed algorithm has been investigated in this project. The selected parameter can improve the estimation performance while accelerate the convergence speed for the proposed algorithms.
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| Research Progress Status |
27年度が最終年度であるため、記入しない。
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| Strategy for Future Research Activity |
27年度が最終年度であるため、記入しない。
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