低复杂度空间调制MPSK信号的最优检测

针对MQAM信号，已有低复杂度的最优检测算法，但是针对MPSK信号还没有类似的最优检测算法发表，因此从二维矢量量化的ML解调角度出发，利用MPSK星座图的特性，给出了与调制符号阶数无关的ML简化算法，避免了ML联合检测算法中对调制符号空间的搜索，极大地降低了算法复杂度。新算法不仅与ML最优检测算法具有完全相同的性能，而且具有较低的复杂度，有较好的理论和实际意义。该算法在天线技术和绿色通信技术中有较好的实际应用意义。

Low-complexity optimal MPSK detection for spatial modulation

The low-complexity optimal SM detection algorithm for MQAM signal detection had been proposed, but no similar method was found for MPSK signal. The problem of low-complexity detection for MPSK signal was considered in SM systems. Utilizing 2-D vector quantization of ML demodulation and the property of MPSK constellation, a low-complexity optimal detection which is independent to modulation order was developed. Since the approach avoids the exhaustive searching on signal constellation space, the computational complexity can be significantly reduced. The proposed detection algorithm can provide the identical performance with ML-optimum detector and has lower computational complexity. Therefore, it has both theoretical and practical significance. The proposed algorithm is of great significance in the large antenna and green communication technology.