CLC number: TP391.4
On-line Access: 2018-10-24
Received: 2018-05-16
Revision Accepted: 2018-09-24
Crosschecked: 2019-10-10
Cited: 0
Clicked: 6408
Maqsood H. SHAH; Xiao-yu DANG. An effective approach for low-complexity maximum likelihood based automatic modulation classification of STBC-MIMO systems[J]. Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/FITEE.1800306 @article{title="An effective approach for low-complexity maximum likelihood based automatic modulation classification of STBC-MIMO systems", %0 Journal Article TY - JOUR
基于低复杂度最大似然的STBC-MIMO系统高效调制识别方法南京航空航天大学电子信息工程学院,中国南京市,211106 摘要:针对正交空时块编码的多输入多输出系统(STBC-MIMO),提出一种基于低复杂度似然比的自动调制识别方法。使用迫零均衡技术修正平均似然比检验函数(ALRT)。与目前MIMO系统调制识别中使用的ALRT相比,本文提出的检验函数具有较低计算复杂度。在接收机具有非理想信道状态信息的条件下,对提出的方法在盲信道场景中进行分析。同时对不同天线数目的场景进行性能分析,利用Alamouti-STBC系统(2×2与2×1)和空时发射分集(4×4)的不同发射和接收天线配置验证本文所提方法,其中一些常用的调制方式被用作调制测试池。以正确识别率为指标,采用蒙特卡罗仿真法评价本文方法。仿真结果表明,该方法在低信噪比下有较好分类精度,在信道状态信息估计误差方差大的情况下有较好稳健性。 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
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