研究生: |
陳瑋玲 Wei-ling Chen |
---|---|
論文名稱: |
多輸入多輸出系統之擴散檢測與外部資訊轉換分析 Belief propagation detection and EXITchart analysis for MIMO systems |
指導教授: |
王煥宗
Huan-Chun Wang |
口試委員: |
馬進國
Chin-gwo Ma 林士駿 Shih-Chun Lin 張縱輝 Tsung-Hui Chang 黃德振 De-jhen Huang |
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: | 103 |
語文別: | 中文 |
論文頁數: | 50 |
中文關鍵詞: | 多輸入多輸出 、擴散檢測 、相關係數 、外部資訊轉換分析 |
外文關鍵詞: | MIMO, Belief Propagation, correlation coefficient, EXIT chart |
相關次數: | 點閱:569 下載:1 |
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本篇論文主要針對於大型Multiple Input Multiple Output (MIMO)系統提出新BP(Belief Propagation)檢測技術,傳統BP來解MIMO systems因loopy graph 而使傳遞的likelihood ratio彼此的相關性變強,所以會產生錯誤率表現不佳的問題,本論文是針對此問題提出新的BP演算法,新的演算法將原有可能產生通道矩陣轉作線性轉換,然後再針對轉換後的通道矩陣換來進行BP 檢測的動作,因此時轉換後的likelihood ratio彼此的相關性變小,所以會產生錯誤率表現也會比傳統的BP要好很多。並且另外使用EXIT chart估測模擬結果。模擬結果顯示我們所提出的新型BP在錯誤率接近 時,訊雜比(SNR)增益要比傳統的BP要好5dB以上,除此之外,我們所提出的BP演算法的收斂速度亦比傳統的BP收斂速度要快上兩倍以上,也與EXIT chart的估測結果符合。
This thesis proposes a new belief propagation (BP) detection algorithm for massive multiple input multiple output (MIMO) systems. The conventional BP detection algorithm for MIMO systems uses a loopy graph, which increases the mutual correlation of the likelihood ratios and thereby affecting BER performance. Our proposed BP algorithm addresses this problem by applying a linear transformation on the channel matrix before performing conventional BP detection. The likelihood ratios obtained by our proposed algorithm have lower mutual correlation and produce a much improved BER performance. We use EXIT charts to estimate simulation results. Simulation results show that, for 10-3≦BER≦10-4, our proposed BP detection algorithm has an SNR gain greater than 5 dB compared to the conventional BP algorithm. Besides, our proposed BP algorithm has a rate of convergence at least two times quicker than for conventional BP, which also corresponds to the results estimated by EXIT charts.
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