2006 Fiscal Year Final Research Report Summary
Time-Space Coding and Multiple Access Based on the Multiple Symbol Differential Detection
| Project/Area Number |
16560329
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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 |
Communication/Network engineering
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| Research Institution | Shinshu University |
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Principal Investigator |
HANDA Shiro SHINSHU UNIVERSITY, Faculty of Engineering, Professor, 工学部, 教授 (00156530)
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| Co-Investigator(Kenkyū-buntansha) |
OSHITA Shinjiro SHINSHU UNIVERSITY, Faculty of Engineering, Professor, 工学部, 教授 (90021021)
SASAMORI Fumihito SHINSHU UNIVERSITY, Faculty of Engineering, Research Associate, 工学部, 助手 (70298090)
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| Project Period (FY) |
2004 – 2006
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| Keywords | Multiple-Symbol Differential Detection / Space-Time Coding / Amplitude and Phase Modulation / MIMO / Maximum-Likelihood Detection / Mobile Communication / Fading |
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| Research Abstract |
In this research, we confirmed the following things ;
1. Noncoherent Turbo decoding using the metric of multiple symbol deferential detection(MSDD) over fast Rayleight fading channels is considered. MSDD using the correlation of the received sequence shows the superior bit error probability performance to the conventional schemes.
2. Postdetection maximum ratio combining (MRC), postdetection equal-gain combining (EGC) and predetection selective combining (SC) for differential space-time block coding (STBC) system using MSDD method with multiple receive antennas are considered under the slow Rayleight fading channels. Simulation results are provided to demonstrate that by increasing the number of receive antenna, significant performance gains can be got by all kinds of diversity receivers.
3. MSDD for STBC is considered over fast Rayleigh fading multiple-input multipleoutput(MIMO) channels. The decision metric is derived by considering the fading autocorrelation for one receive antenna and multiple antennas with postdetection EGC, and the M-algorithm is adopted to reduce the computational complexity of the decision metric. Simulation results demonstrate that MSDD is effective to fill the performance gap between conventional differential detection and coherent detection of differential STBC by extending the observation interval. It is also shown that a significant diversity gain can be got by increasing the number of receive antennas with postdetection EGC.
4. MIMO detection using the MSDD method is considered. User demultiplexing feasibility would be got by using MSDD used the correlation of the received sequences for multiple access by two users.
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