研究生: |
吳長燁 Chang-Yeh Wu |
---|---|
論文名稱: |
接近大型多輸入多輸出系統通道容量之累加預先訊息式軟性檢測技術 Accumulated soft information MMSE-SIC Detector for Approaching Massive MIMO Channel Capacity |
指導教授: |
王煥宗
Huan-Chun Wang |
口試委員: |
溫志宏
none 林敬舜 none 黃德振 none |
學位類別: |
碩士 Master |
系所名稱: |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
論文出版年: | 2014 |
畢業學年度: | 102 |
語文別: | 中文 |
論文頁數: | 125 |
中文關鍵詞: | MIMO 、遞迴式偵測與解碼接收器 、MMSE-SIC 、累加軟式資訊 、軟式輸入軟式輸出 、EXIT chart 、curve fitting 、通道容量 |
外文關鍵詞: | MIMO, iterative detection and decoding, MMSE-SIC, accumulated soft information, SISO, EXIT chart, curve fitting, channel capacity |
相關次數: | 點閱:796 下載:5 |
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本篇論文針對大型MIMO系統提出接近通道容量的ASI-MMSE-SIC SISO detector。ASI-MMSE-SIC SISO detector利用遞迴MMSE-SIC檢測的方式計算輸出之額外訊息,為了增加每次遞迴時其預先訊息的可靠度,ASI-MMSE-SIC SISO detector累加之前所有遞迴次數由SISO detector所反饋的輸出之額外訊息。因此ASI-MMSE-SIC SISO detector之額外訊息的互消息會高於其他現存的SISO detector之額外訊息的互消息,且不同於SISO feedback equalizer會累加從SISO decoder回饋給SISO feedback equalizer輸出之額外資訊。
ASI-MMSE-SIC SISO detector使用EXIT chart與 curve fitting技術來設計接近通道容量的錯誤更正碼,模擬顯示若使用減少複雜度的ASI-MMSE-SIC SISO detector能更接近大型MIMO系統的通道容量。在天線數128x64的通道容量表現上,減少複雜度的ASI-MMSE-SIC SISO detector只差距通道容量約1dB內;複雜度方面,減少複雜度的ASI-MMSE-SIC SISO detector也僅為MMSE-SIC SISO detector的 2倍。整體來說,減少複雜度的ASI-MMSE-SIC SISO detector在通道容量效能與複雜度表現比其他現存SISO detectors都更適用於大型MIMO系統。
This thesis proposes the accumulated soft information (ASI) MMSE-SIC SISO detector for approaching massive MIMO capapcity. The ASI-MMSE-SIC SISO detector computes ouput extrinsic information with iterative MMSE-SIC detection. In order to increase the reliability of a priori information in each iterative detection, ASI-MMSE-SIC SISO detector accumulates ouput extrinsic information which feedbacks from itself in all previous iterative detection. Therefore, output extrinic information of ASI-MMSE-SIC SISO detector has higher mutual information than conventional SISO detectors. Whereas, unlike SISO feedback equalizer detector accumulates ouput extrinsic information from SISO decoder feedbacks to SISO feedback equalizer.
We showed that ASI-MMSE-SIC SISO detector can use the EXIT chart and curve fitting technique to design the near-capacity coding. Furthermore, simulation results show that the capacity offered by ASI-MMSE-SIC SISO detector of reduced complexity can approach massive MIMO capacity. As a result, the capacity gap between ASI-MMSE-SIC SISO detector of reduced complexity and channel capacity is within 1.5 dB when antenna configuration is 128 by 64. On the complexity side, ASI-MMSE-SIC SISO detector of reduced complexity is only about twice higher than MMSE-SIC SISO detector. On the whole, ASI-MMSE-SIC SISO detector of reduced complexity have distinguished trade-off between outstanding channel capacity and fine complexity outperforms other conventional SISO detectors in massive MIMO system.
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