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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：313  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.

    第一章 序論 1 第二章 系統架構與通道容量 3 2.1 系統架構 3 2.2 通道容量與最高傳送速度 5 第三章 LAS soft input soft output detector 9 3.1 演算法 9 3.2 複雜度計算 13 第四章 模擬結果 15 4.1 LAS SISO Detector之錯誤率分析 15 4.2 通道容量分析 16 4.2.1 最大傳輸速率分析 16 4.2.2 收斂可適性分析 20 4.2.3 通道容量分析 23 第五章 結論 26 附錄A SISO detector的容量計算 26 參考文獻 30

    參考文獻
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