| Project/Area Number |
13650420
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
情報通信工学
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
YAMASHITA Katsumi Osaka Prefecture University, Graduate School of Engineering, Professor, 工学研究科, 教授 (60158152)
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| Co-Investigator(Kenkyū-buntansha) |
LIN Hai Osaka Prefecture University, Graduate School of Engineering, Assistant Professor, 工学研究科, 助手 (40336805)
KATSUYAMA Yutaka Osaka Prefecture University, Graduate School of Engineering, Professor, 工学研究科, 教授 (00295726)
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| Project Period (FY) |
2001 – 2002
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| Project Status |
Completed (Fiscal Year 2002)
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| Budget Amount *help |
¥3,900,000 (Direct Cost: ¥3,900,000)
Fiscal Year 2002: ¥1,700,000 (Direct Cost: ¥1,700,000)
Fiscal Year 2001: ¥2,200,000 (Direct Cost: ¥2,200,000)
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| Keywords | Echo canceler / Double-talk problem / Correlation algoritmm / Array antenna / Equalizer design / Volterra series / High order cumulant / Blind identification / 等化器設定 / 到来角推定 |
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| Research Abstract |
In the digital communication systems, the communication channels are often impaired by the nonlinear intersymbol interference that often arises at high transmission rate. Also, the echo canceling systems for hand-free set mobile radio telephone or tele-conferecing system are impaired by the nonlinear speaker characteristics.
In order to overcome the above-mentioned problem, the Volterra system presented by the Volterra series expansion that is wett known as a generalization of the Taylor series model is often used. Also, in order to reduce computational load, we use array antenna technique.
In this project, we designed nonlinear equalizer and echo canceler based on Volterra model and array antenna technique, and the validity of the proposed algorithms was demonstrated by using computer simulations. Next, we constructed blind spatial and temporal echo canceler and equalizer in order to consider practical situations that the input signals are unavailable. These algorithms were designed based on hybrid simplex genetic algorithm which solves the optimization problem by incorporating the simplex operator with GA , and the validity of the proposed algorithms was demonstrated by using computer simulations.
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