馬可夫鏈-蒙地卡羅方法應用於多輸入多輸出系統進行資料偵測之研究

Abstract

在現代的通訊系統中，由於所需要的傳輸速率越來高，因此有許多高階的調變方法，例如16QAM，64QAM等方法都被應用到現有以MIMO為基本架構的通信系統上，如此可以再不改變系統架構的情況下提升資料傳輸的速度。然而當調變越來越複雜，原本的接收方法便會顯得過於複雜，因此我們需要找尋新的接收方式來進行資料的接收。馬可夫鏈-蒙地卡羅方法利用簡單的統計學原理，來進行資料的解調，以達到降低複雜度的目的。同時再搭配一個簡單的軟式解碼器，利用遞迴地傳遞軟資訊，可以更改善其錯誤率的表現。

In modern communication systems, in order to achieve higher bit rate, more complex modulation methods such as 16QAM, 64QAM, are applied to an MIMO based wireless communication system. As a result, the complexity of the receiver becomes higher than usual. Markov Chain Monte Carlo methods are very simple and thus provides a very efficient scheme for data detection . The complexity of the algorithm grows linearly either with the number of the antenna or the complexity of the modulation scheme. If we apply the soft-in soft-out decoder after the MCMC detector, the performance can be comparable with other good yet more complex receiver schemes.