基於群組式QR分解之低複雜度多輸入多輸出系統偵測法

A low complexity detection based on grouping QRD-M for MIMO systems

余俊武(Jyun-Wu Yu)

指導教授 ： 林信標

國立臺北科技大學/電資學院/電腦與通訊研究所/碩士(2012年)

https://doi.org/10.6841/NTUT.2012.00561

摘要

現今無線通訊系統中，多輸入多輸出(Multiple-In Multiple-Out；MIMO)技術為最受歡迎的技術之一。原因在於可以利用多根天線傳送與接收在不需要額外增加頻譜資源與功率就可以達到更高速以及更可靠的傳送。
　　在本篇論文中，我們提出了一種低複雜度的多輸入多輸出系統的偵測法，一般來說最大相似偵測法擁有最佳的效能，但是其計算複雜度實在太高，實際上以至於難以被應用。許多能夠降低最大相似偵測法複雜度的文獻紛紛的被提出，QRD-M偵測法為其中的一種方式，而在本論文中將以QRD-M偵測法為基本的架構，並且將實數分解偵測法和多工QRD-M偵測法整合在一起形成一種新的架構，群組QR分解偵測法能夠有效的減少使用實數分解後增加的估測時間，也能夠解決多工QRD-M偵測法的問題。而在最後我們比較了傳統QRD-M偵測法和群組QR分解偵測法的計算複雜度和錯誤率的部分，並且可以看出當星座圖增大的時候，例如64-QAM的情況，群組QR分解偵測法的表現會比傳統QRD-M偵測法還好，不管是在錯誤率的部分還是在計算量的部分都來得優異。

關鍵字

多輸入多輸出 ； QRD-M ； 低複雜度 ； 實數分解

並列摘要

Nowadays, the Multiple-input, Multiple-Output (MIMO) is one of the most popular technologies in the wireless communication systems. The reason is we can use lots of antennas to not only transmission and receive without increasing extra spectrum resource and power but also approach higher and more reliable transmission.
In this paper, we propose a low complexity detection for multiple-input multiple-output (MIMO) systems. While the maximum likelihood detection (MLD) has the best performance, the complexity is too high. MLD is infeasible in the practical MIMO systems. Several MLD with low complexity has been proposed, QRD-M is one of the methods. Based on QRD-M, we apply real value decomposition (RVD) and multiple QR-decomposition proposing a detection. It can reduce the latency time of RVD scheme, and solve the problem of multiple QRD-M. Finally, we compare the computation complexity and bit error rate (BER) for conventional and proposed detection methods. It shows that the performance of proposed scheme is better than conventional QRD-M in 64-QAM.

並列關鍵字

MIMO, QRD-M ； Low complexity ； real value decomposition

參考文獻

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