廣義空間調變系統中，最大概似偵測器具有最佳之偵測效能，但其複雜度隨著星座點數以及啟用天線數指數性上升。相較之下，OB-MMSE偵測器將不同天線組合進行加權，排序其偵測順序並依序求出MMSE解，有效使複雜度下降。然而目前文獻中之OB-MMSE偵測器皆是假設通道為平坦衰落，無法直接適用在頻率選擇性衰落通道之中。本論文結合單載波區塊傳輸之特性，將OB-MMSE演算法延伸至頻率選擇性衰落通道之中。為了解決因通道衰減所導致之錯誤蔓延的問題，本論文提出利用前置濾波器以改善通道，減少通道衰減的影響以及降低需要搜尋的天線組合數，更進一步以硬式決策取代原先的MMSE決策以降低整體運算複雜度。根據模擬結果，本論文所提出之偵測演算法較原先未使用前置濾波器之OB-MMSE演算法之錯誤率表現更好，並且與使用樹狀搜尋之M演算法比較，在星座點數以及天線數量增加時，能以更低的複雜度達到相近的錯誤率表現。

In generalized spatial modulation (GSM) systems, the maximum likelihood (ML) detector achieves the best detection performance. However, the complexity increases exponentially with the increase of number of constellation points and activated transmit antennas. Compared with the ML detector, ordered-block minimum-mean-squared-error (OB-MMSE) detector is a low-complexity detector. The algorithm sorts the possible transmit antenna combinations (TACs) and each ordered TAC is detected by block-MMSE equalization. However, the OB-MMSE detector in the literature is for the flat fading channel and can not be directly used in frequency selective fading channel. In this thesis, we exploit the characteristics of the single-carrier block transmission to overcome this problem. Due to the error propagation resulting from fading channel, however, the performance is limited. We propose to design a prefilter to improve the equivalent channel, so that number of TACs searched can be reduced. Moreover, the prefilter make it possible to substitute hard decision for block-MMSE equalization to reduce the complexity. The simulation results show that the performance of the proposed algorithm is better than OB-MMSE. Furthermore, the proposed algorithm offers a near M-algorithm detection performance with a considerably lower complexity when constellation size and multiple-input and multiple-output (MIMO) size become larger.

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