研究生: |
廖瑋倫 Wei-lun Liao |
---|---|
論文名稱: |
應用於大型多輸入多輸出系統之LAS接收機分析 Likelihood ascent search algorithm for large MIMO systems |
指導教授: |
王煥宗
Huan-Chun Wang |
口試委員: |
黃德振
none 溫志宏 none 呂政修 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: | 36 |
中文關鍵詞: | LAS 、大型多輸入多輸出系統 、基於梯度 |
外文關鍵詞: | LAS, large MIMO systems, gradient base |
相關次數: | 點閱:440 下載:2 |
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此篇論文是用於研究likelihood ascent search(LAS)接收機,LAS是一種基於梯度的軟式輸入軟式輸出接收機,在沒有加入編碼的大型多輸入多輸出情況下,LAS可以接近可加性高斯白的錯誤率,跟傳統的MMSE-SIC相比,LAS可以在高訊雜比的情況下提供較高的通道容量,但是在低SNR的情況下卻不盡理想,利用EXIT圖與CF技術的可以設計接近通道容量的編碼,並在模擬結果當中觀察LAS在錯誤率、最大傳輸速率和收斂可適性。
This paper studies the likelihood ascent search (LAS) detection. The LAS is a gradient based SISO detector. For uncoded large MIMO systems, LAS approaches AWGN BER for large MIMO systems. Compared with conventional MMSE-SIC SISO detector, LAS offers higher capacity detector at high SNR but lower capacity at low SNR. With near-capacity coding design by EXIT chart and curve fitting, simulation also shows different BER, UBMTR, and convergence suitability for LAS.
參考文獻
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