广义空间调制系统的关键技术研究

发布时间：2018-01-27 16:56

本文关键词： 多输入多输出广义空间调制检测算法压缩感知天线组合选择　出处：《南京理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：具有低复杂度、低信道间干扰的空间调制(SpatialModulation,SM)和广义空间调制(Generalised Spatial Modulation,GSM)技术将是 5G 大规模 MIMO(Multiple-input multiple-output,MIMO)系统理想的候选技术。本文以提高GSM系统的检测性能同时保持较低的计算复杂度为目标,开展GSM系统接收信号检测算法以及激活天线组合选择算法研究。在经典的GSM接收信号检测算法中,最大似然(Maximum Likelihood,ML)检测算法误码率性能最优,但其极高的计算复杂度使其在实际应用中难以实现。线性检测算法具有较低的复杂度,但其较差的误码率性能使其难以满足实际应用对系统可靠性的要求。本文将ML的低误码率与线性检测的低复杂度相结合,设计出一种广义空间调制系统的激活天线与调制符号联合估计算法。仿真结果表明,提出的算法在保证较低复杂度的同时,获得了较好的误码率性能。同时,本文将最新的压缩感知理论用于GSM系统接收信号检测,研究了正交匹配追踪(Orthogonal Matching Pursuit,OMP)和基追踪(Basis Pursuit,BP)检测算法,并且提出一种改进的基于压缩感知的GSM系统接收信号检测算法。该算法使用线性检测降低了待检测信号的维度,从而降低了算法的计算复杂度。仿真表明提出算法以较小的误码率性能损失为代价,大大降低了BP算法的复杂度。最后,本文研究了最大化接收向量间最小欧氏距离的GSM激活天线组合选择算法。该算法误码率性能最优,但其具有极高的复杂度。因此,本文提出两种降低复杂度的激活天线组合选择算法:基于天线相关性准则的广义空间调制系统激活天线组合选择算法以及基于最大化信道容量准则的广义空间调制系统激活天线组合选择算法。仿真表明提出的两种天线组合选择算法具有较低的计算复杂度,且保持了较好的误码率性能。
[Abstract]:Spatial modulation with low complexity and low inter-channel interference (ISI). SM) and Generalised Spatial Modulation. GSM) technology will be 5G large-scale MIMO(Multiple-input multiple-output. The purpose of this paper is to improve the detection performance of GSM system while keeping low computational complexity. Research on GSM system receiving signal detection algorithm and combination selection algorithm of active antenna. In the classical GSM received signal detection algorithm. Maximum likelihood Maximum Likelihoodo (MLR) detection algorithm has the best BER performance. However, its high computational complexity makes it difficult to implement in practical applications, and the linear detection algorithm has a lower complexity. But its poor BER performance makes it difficult to meet the practical requirements of system reliability. This paper combines the low BER of ML with the low complexity of linear detection. A joint estimation algorithm of active antenna and modulation symbol for generalized spatial modulation system is designed. The simulation results show that the proposed algorithm can achieve better BER performance while ensuring lower complexity. In this paper, the latest compression sensing theory is applied to the detection of received signals in GSM systems, and orthogonal Matching Pursuit is studied. OMP) and basic tracking basis pursuit (BPP) detection algorithm. An improved GSM signal detection algorithm based on compressed sensing is proposed, which reduces the dimension of the signal to be detected by linear detection. Therefore, the computational complexity of the algorithm is reduced. The simulation results show that the proposed algorithm greatly reduces the complexity of BP algorithm at the cost of small bit error rate performance loss. In this paper, we study the GSM active antenna combination selection algorithm, which maximizes the minimum Euclidean distance between received vectors. This algorithm has the best BER performance, but its complexity is very high. In this paper, we propose two combinatorial selection algorithms for reducing the complexity of active antennas. The combination selection algorithm of active antennas for generalized spatial modulation systems based on antenna correlation criterion and the combination selection algorithm for active antennas for generalized spatial modulation systems based on maximization channel capacity criterion are presented. The antenna combination selection algorithm has low computational complexity. And maintain a good bit error rate performance.
【学位授予单位】：南京理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TN911.3

【相似文献】