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An effective approach for low-complexity maximum likelihood based automatic modulation classification of STBC-MIMO systems
Frontiers of Information Technology & Electronic Engineering ( IF 3 ) Pub Date : 2019-12-27 , DOI: 10.1631/fitee.1800306
Maqsood H. Shah , Xiao-yu Dang

A low-complexity likelihood methodology is proposed for automatic modulation classification of orthogonal space-time block code (STBC) based multiple-input multiple-output (MIMO) systems. We exploit the zero-forcing equalization technique to modify the typical average likelihood ratio test (ALRT) function. The proposed ALRT function has a low computational complexity compared to existing ALRT functions for MIMO systems classification. The proposed approach is analyzed for blind channel scenarios when the receiver has imperfect channel state information (CSI). Performance analysis is carried out for scenarios with different numbers of antennas. Alamouti-STBC systems with 2 × 2 and 2 × 1 and space-time transmit diversity with a 4 × 4 transmit and receive antenna configuration are considered to verify the proposed approach. Some popular modulation schemes are used as the modulation test pool. Monte-Carlo simulations are performed to evaluate the proposed methodology, using the probability of correct classification as the criterion. Simulation results show that the proposed approach has high classification accuracy at low signal-to-noise ratios and exhibits robust behavior against high CSI estimation error variance.



中文翻译:

基于低复杂度最大似然的STBC-MIMO系统自动调制分类的有效方法

提出了一种低复杂度似然方法,用于基于正交空时分组码(STBC)的多输入多输出(MIMO)系统的自动调制分类。我们利用迫零均衡技术来修改典型的平均似然比检验(ALRT)函数。与用于MIMO系统分类的现有ALRT功能相比,所提出的ALRT功能具有较低的计算复杂度。当接收器具有不完善的信道状态信息(CSI)时,针对盲信道场景分析了所提出的方法。针对具有不同数量天线的场景进行性能分析。考虑使用具有2×2和2×1以及具有4×4发送和接收天线配置的时空发送分集的Alamouti-STBC系统来验证所提出的方法。一些流行的调制方案被用作调制测试池。使用正确分类的可能性作为标准,执行蒙特卡洛模拟以评估所提出的方法。仿真结果表明,该方法在低信噪比下具有较高的分类精度,并且对高CSI估计误差方差表现出鲁棒的行为。

更新日期:2020-04-18
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