在先前的空時區塊編碼之相差空間調變中，透過選擇時間與空間的排列模式，來達到更高的頻寬效益，但只有以4根傳送天線為例。而在本篇論文中，我們推導出具空時排列的空時區塊編碼之相差空間調變的最大天線位元數量，並驗證先前所提出的4根傳送天線時符合最大天線位元數量，然後，提出在6根或8根傳送天線時的排列模式，而其個數也符合我們所推導的最大天線位元數量，在我們所提出的6根或8根傳送天線中，其頻譜效率也高於先前的例子。在解碼端，我們為了降低位元錯誤率以及降低解碼複雜度，我們分別提出了最佳籬柵圖檢測以及降低籬柵圖狀態個數的低複雜並帶有決策回饋的最大相似(ML)檢測器。另一方面，我們提出了一種用於相差空間調變的低複雜最大相似檢測器，而此方法也適用於空時區塊編碼之相差空間調變，我們也將這一方法用在前面所提出的具空時排列的空時區塊編碼之相差空間調變，來簡化其解碼複雜度。;In the previous space-time block coded differential spatial modulation with spatial and temporal permutations (STBC-DSM-STP), higher bandwidth efficiency is achieved through selecting patterns of temporal permutation and spatial permutation, using the example of 4 transmit antennas. In this paper, we derive the maximum number of antenna bits for STBC-DSM-STP, and verify that the previously proposed 4 transmit antennas meets the maximum antenna bits. Furthermore, we propose permutation patterns for 6 or 8 transmit antennas, which also adhere to our derived maximum antenna bit . In our proposed examples, their spectral efficiency is also higher than the earlier examples. In the decoding process, in order to reduce bit error rates and decoding complexity, we have proposed the optimal trellis diagram detection and the low-complexity maximum likelihood (ML) detector with reduced trellis state count and decision feedback. On the other hand, we propose a low-complexity maximum likelihood detector for differential spatial modulation, which is also applicable to space-time block coded differential spatial modulation. We apply this method to the previously proposed STBC-DSM-STP to simplify its complexity.
