SFBC MIMO-OFDM系统中基于循环移位和盲检测的低复杂度SLM算法

为了降低空频分组编码的多输入多输出正交频分复用(Space Frequency Block Coding Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing,SFBC MIMO-OFDM)系统中传统选择性映射(Selected Mapping,SLM)算法的计算复杂度,本文提出了结合时域信号的循环移位和等效SFBC编码来产生更多具有不同峰均功率比(Peak to Average Power Ratio,PAPR)的备选序列的方法.接收端通过比较反向旋转序列与最近星座点的距离来恢复出循环移位因子和相位旋转因子,从而实现接收信号的盲检测.仿真结果表明,本文提出方法能有效地抑制SFBC MIMO-OFDM系统的PAPR.另外,本文提出方法明显降低了传统SLM算法的计算复杂度,而且可以获得与传统SLM算法在已知边带副信息情况下相似的比特误码率(Bit Error Rate,BER)性能.

Low CompIexity SLMAIgorithm Based on CycIic Shift and BIind Detection in SFBC MIMO-OFDM System

In order to reduce the computational complexity of the conventional selective mapping (SLM) algorithm in the space frequency block coding multiple input multiple output orthogonal frequency division multiplexing (SFBC MIMO-OFDM) system, this paper proposes to produce more candidate sequence pairs with different peak to average power ratio (PAPR) by the time domain cyclic shift and equivalent SFBC of signals.The receiving part can restore cyclic shift factor and phase rotation factor by comparing the distance of the inversed rotation sequences and its nearest constellation points.The simulation results show that the proposed method can effectively reduce the PAPR of SFBC MIMO-OFDM system.In addition, the proposed method can reduce the computation complexity of the conventional SLM significantly and can obtain similar bit error rate (BER) performance as the conventional SLM with perfect side information.