摘要
针对空间调制技术提出一种基于M准则的次最优检测算法(M-ML),该算法通过缩小最大似然检测中发送符号搜索空间来降低复杂度。仿真结果显示,在发送天线相关性较高的场景下,M-ML算法可以获得与最大似然检测相当的误码率性能。同时,通过将M-ML算法和最大似然算法进行复杂度比较发现,随着调制阶数与发送天线数的提升,M-ML算法复杂度将不断降低。
Proposed a sub-optimal detection algorithm （M-ML） based on M-Algorithm against spatial modulation technique. The algorithm reduced the complexity by reducing the transmit symbol search space. Simulation results show that in high correlation transmitting antenna scene, M-ML algorithm can obtain equivalent BER performance with maximum likelihood detection. Meanwhile, the M-ML and ML algorithm complexity comparison show that with the addition of the modulation order and the number of transmission antennas, M-ML algorithm will continue to reduce the complexity. Finally, this paper presents the best value of M.
出处
《北京联合大学学报》
CAS
2014年第4期40-43,共4页
Journal of Beijing Union University
关键词
空间调制技术
最大似然检测
M准则
多输入多输出
相关信道
Spatial modulation techniques
Maximum likelihood detection
M-Algorithm
MIM0
Correlated channel
