结合GFDM的空间调制技术及其检测算法研究

针对SM-OFDM系统不能很好适应未来5G通信系统的问题，提出了结合广义频分复用(generalized frequency division multiplexing, GFDM)的空间调制(spatial modulation, SM)系统SM-GFDM。利用矩阵的稀疏性，研究了一种低复杂度的SM-GFDM系统检测算法，对比了在GFDM接收端分别采用基于矩阵稀疏性的MF(matched filtering)，ZF(zero-forcing)，MMSE(minimum mean-square error)检测算法时的系统误码率。仿真结果表明，在SM端采用ML(maximum likelihood)检测的前提下，GFDM端采用基于矩阵稀疏性的MMSE检测算法时可获得较低的误码率，与传统的MMSE检测算法相比，其复杂度有所降低。同时进一步仿真对比了SM-GFDM系统、SM-OFDM系统以及V-BLAST GFDM系统的BER曲线，结果表明，SM-GFDM系统与SM-OFDM系统相比误码率略有上升，但却优于V-BLAST GFDM系统。结合SM技术的特点，SM-GFDM系统可以很好地适用于未来5G系统。

Research on spatial modulation technique combined with GFDM

Aiming at the fact that the SM-OFDM system cannot adapt well to the future 5G communication system, a spatial modulation system combined GFDM (SM-GFDM) is proposed. Using the sparsity of matrices, a low complexity detection algorithm for SM-GFDM system is studied. We compare the BER curves of the systems when the GFDM receiver uses MF, ZF and MMSE detection algorithms based on the sparsity of matrix, respectively. The results show that, on the premise that ML detection is used in the SM receiver, a lower BER can be obtained when the MMSE detection algorithm based on the matrix sparsity is used in the GFDM receiver, and its complexity is reduced compared with the traditional MMSE detection algorithm without matrix sparsity. At the same time, we also compare the BER curves of the SM-GFDM system with the SM-OFDM system and the V-BLAST GFDM system. The results show that the BER of the SM-GFDM system is slightly higher than that of the SM-OFDM system, but it outperforms the V-BLAST GFDM system. The SM-GFDM system can be well applied to the future 5G system with the characteristics of SM technology.