發明
中華民國
100121014
I 436610
多輸入多輸出偵測方法
國立交通大學
2014/05/01
基礎叢集法是在偵測前,以基礎等化器找出的可能落點為依據,決策出該每個天線維度上可能候選星群,並以寬度優先搜尋的分支分界的方法,結合MMSE-SQRD解碼的系統架構來解碼,而本叢集分群法為以下兩種: 重疊叢集法(Overlap cluster)如下A)1.,為一減少複雜度並維持偵測效能之方法,在叢集的決策上,為了減少在邊界情況(Boundary condition)下的決策失誤,兩個不同的群可能會有相同的候選星群,藉此在叢集上有更高的準確性。 可變叢集法(Dynamic cluster)如下A)2.,為適應不同天線的通道衰減效應,而改進的叢集法。在決策的候選星群時,利用排序QR分解(Sorted QR Decomposition)演算法之通道路徑的範數(norm)資訊,使低通道衰減之天線有低數量之候選星群,高通道衰減天線維度擁有較多數量之候選星群候選星群,而此法符合實際天線陣列在真實情況下的傳輸環境。在A)1.和A)2.所選取出來的叢集候選IQ中,以藉由MMSE-SQRD分解將計算過程調整為樹狀結構如下B),計算Partial Euclidean Distance,並以寬度優先搜尋找出最佳解。 We propose the Variable Cluster Overlapped MIMO Detection algorithm by partitioning the transmitted MIMO signal vectors into vary clusters with estimated symbol in each dimension in 64-QAM/256-QAM and finding out the result signal by comparing the received signal with all the candidates above. And the proposed method, step A) as well as B), are demonstrating in the fellowing. In A), we demonstrate overlap clustering algorithm that the estimated signal got by linear detectors, as ZFD or MMSED, and then pick out the possible constellation points falling on each antenna according to the range which the estimated signal is in. After overlap clustering algorithm in step 1, we enlarge/narrow the possible constellations points according to the column norm of H included channel gain information. Moving on B), we have all the candidates signals compare with the received signal, and then apply BFS with best K candidates in the searching space of MMSE SQRD.
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