分组空时块码系统中的排序最大信噪比检测算法

提出并比较了应用于分组空时块码（G—STBC）系统中两种不同信道模型的排序最大信噪比（MaxSNR）检测算法。该系统在发端对发射天线分组，每组进行独立的空时块码编码；在收端应用排序最大信噪比算法进行检测。由于空时块码提供了额外的时域约束，所以可以利用这个约束对信道模型进行变换，得到一个等效信道模型，然后再使用排序MaxSNR检测；当然也可以直接利用原有的信道模型，即非等效信道模型进行检测。仿真结果表明：当接收天线数不少于发射天线数的一半时，采用等效信道模型下的排序MaxSNR算法，系统的误码曲线就能保持陡降性；并且在收发天线数相同时，其性能总是优于非等效信道模型。

Ordering maximum signal-to-noise ratio detection algorithm for group-wise STBC systems

This paper presents the ordering Maximum Signal-to-Noise Ratio(Max SNR) algorithm for Group-wise Space-Time Block Coded(G-STBC) systems with two kinds of channel models.In such systems,transmitting antennas are divided into several groups and each group is space-time encoded individually.On the receiver side,the ordering Max SNR algorithm is used for detection.An equivalent channel model can be generated first by exploiting the temporal constraint of STBC,then the ordering Max SNR algorithm is used.Also the original channel model,that is the non-equivalent channel model,can be used.The simulation(results) show that with the equivalent channel model,the BER curve can keep its deep-drop when the number of receiving antennas is no less than half of the number of transmitting antennas and with the same numbers of transmitting and receiving antennas,the performance is always better than the counterpart of G-STBC systems without equivalent channel models.