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广义空间调制系统分层叠加编码的迭代检测
引用本文:陈发堂,张丁全,易润.广义空间调制系统分层叠加编码的迭代检测[J].重庆邮电大学学报(自然科学版),2018,30(2):184-190.
作者姓名:陈发堂  张丁全  易润
作者单位:重庆邮电大学 重庆市移动通信重点实验室,重庆 400065,重庆邮电大学 重庆市移动通信重点实验室,重庆 400065,重庆邮电大学 重庆市移动通信重点实验室,重庆 400065
基金项目:重庆市教委科学技术研究项目(KJ1500428)
摘    要:在广义空间调制(generalized spatial modulation, GSM)系统中,接收端信号检测方案的误比特率性能与复杂度是重要衡量指标。将发送端的星座调制与分层叠加编码(superposition coded modulation, SCM)方案结合,接收端分层检测时各层的码本搜索空间大小仅与该层的调制方式有关,有效降低算法的搜索次数。为获得更好误比特率性能,引入迭代的思想,即迭代分层检测(iterative layered detection, ILD),通过在解调第1层符号信息时选出ite个候选组合集,分别进行第2层到第L层的循环迭代,最后选取第L层调制符号与对应码本间欧式距离最小的迭代次数,作为最优检测符号。仿真结果表明,其误比特率性能接近最大似然(maximum likelihood, ML)检测,且计算复杂度降低了81.25%。

关 键 词:广义空间调制  分层编码调制  信号检测  迭代分层检测
收稿时间:2016/11/16 0:00:00
修稿时间:2017/11/5 0:00:00

Iterative detection algorithm under superposition coded for generalized space modulation system
CHEN Fatang,ZHANG Dingquan and YI Rui.Iterative detection algorithm under superposition coded for generalized space modulation system[J].Journal of Chongqing University of Posts and Telecommunications,2018,30(2):184-190.
Authors:CHEN Fatang  ZHANG Dingquan and YI Rui
Institution:Chongqing Key Lab of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R.China,Chongqing Key Lab of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R.China and Chongqing Key Lab of Mobile Communications, Chongqing University of Posts and Telecommunications, Chongqing 400065, P.R.China
Abstract:In generalized spatial modulation system (GSM), the BER performance and computational complexity of signal detection scheme play an important role. In this paper, we combined the sending constellation with superposition coding modulation (SCM), and the search space size of each layer only has to do with the layer of modulation mode for layered detection, which effectively reduces the number of search algorithm. In order to obtain better BER performance, we introduced the idea of iteration, the iterative layered detection (ILD), by loop iterative layered demodulation from second to L layer with the ite candidate combination set in the first layer demodulation symbol information, finally we selected the miminal Euclidean distance of iterations between modulation symbols and the corresponding code of L layer as the optimal detection symbol. The simulation results show that the detection performance of the new algorithm is closer to the maximum likelihood (ML), and the receiver complexity is reduced by 81.25%.
Keywords:generalized space modulation  superposition coded modulation  signal detection  iterative layered detection
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