Symmetry-Aided Clustering Blind Detection in Spatial Modulation Systems

作     者：Zhang, Lijuan He, Yachen Jin, Minglu 

作者机构：Dalian Univ Technol Sch Informat & Commun Engn Dalian 116024 Peoples R China Beijing Sogou Technol Dev Co Ltd Div AI Interact Beijing 100089 Peoples R China 

出 版 物：《IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY》 (IEEE运载工具技术汇刊)

年 卷 期：2021年第70卷第4期

页      面：3354-3370页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0823[工学-交通运输工程] 

主　　题：Blind detection clustering algorithms pseudo rotational symmetry rotational symmetry SM-MIMO 

摘      要：This paper considers the blind detection of spatial modulation multiple-input multiple-output (SM-MIMO) systems based on clustering algorithms. Firstly, we propose a novel framework (framework 1) that can guarantee the excellent detection performance of clustering detectors to implement the signal detection even if in the case of short block length by considering the rotational symmetry of digital modulation constellations. Then, we propose a novel rule by defining the concept of pseudo rotational symmetry of cluster centroids, which can check the quality of the cluster centroids of clustering algorithms. Besides, based on the proposed rule, we investigate two scenarios and propose framework 2 and framework 3 for the problems in the scenarios. Specifically, the framework 2 can early terminate the clustering algorithms that are performed multiple times different initializations to avoid poor detection performance, and it significantly reduces computational complexity while maintaining excellent performance. The framework 3 can adjust the data length of clustering algorithms according to different environmental conditions that can improve the detection efficiency while improving performance. Moreover, the proposed framework 1 can be combined with proposed framework 2 or framework 3, which further enhances the detection performance. In addition, we conduct the performance analysis for the SM-MIMO systems when the perfect channel state information (CSI) is unavailable. Simulation results demonstrate the clustering detectors combined with proposed frameworks behave better than the clustering detectors without the proposed frameworks in terms of performance or complexity.