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性别: 男

毕业院校: 北京航空航天大学

学位: 博士

所在单位: 信息与通信工程学院

学科: 通信与信息系统. 信号与信息处理. 电路与系统

办公地点: 创新园大厦A520

联系方式: Tel: 86-0411-84707719 实验室网址: http://wican.dlut.edu.cn

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基于二进制二次规划全局最优性条件的GSSK 系统的检测算法

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发表时间: 2022-10-10

发表刊物: 系统工程与电子技术

期号: 7

页面范围: 1663-1669

ISSN号: 1001-506X

摘要: Generalized space shift keying (GSSK),a preferred scheme in the combination of the large-an-tenna technology and the green communication technology,has received a wide range of interests.The main fea-tures of GSSK are that only a few antennas are activated at any time instant and antenna indices are exploited to convey information.The computational complexity of the maximum likelihood (ML)detector is extremely high due to the large transmit-antenna which has been the limitation in practical application.Thus,simplified subop-timal detection algorithms have been widely studied.A novel GSSK detection algorithm based on global optimal-ity conditions for binary quadratic programming is proposed.The proposed algorithm uses the optimal decision criterion to judge the transmit information.Subsequently the algorithm can determine the combination of trans-mit antennas based on the previous transmit information.Thus,the transmit binary bit stream is estimated. The simulation results show that the performance of the proposed algorithm,which exhibits lower computation-al complexity,is better than orthogonal matching pursuit (OMP)and convex superset relaxation (CSR)subop-timal detection algorithms.The proposed method achieves a better tradeoff between the performance and com-plexity.

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