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作 者:董宝林 高丽丽[1] 杜永兴[1] DONG Baolin;GAO Lili;DU Yongxing(Information Engineering School,Inner Mongolia University of Science and technology,Baotou 014010,China)
机构地区:[1]内蒙古科技大学信息工程学院,内蒙古包头014010
出 处:《内蒙古科技大学学报》2022年第3期251-255,共5页Journal of Inner Mongolia University of Science and Technology
摘 要:符号定时同步是类5G无线专网通信系统初始小区搜索过程中的关键步骤.针对传统相关算法和分段相关算法在低信噪比情况下性能恶化的问题,并根据此专网通信系统的特点,提出了联合分段相关算法.在分段相关算法基础上,联合多个相邻主同步信号进行检测以提升在低信噪比情况下的检测成功率.首先计算多个相邻主同步信号分段相关值,由分段相关值计算多个主同步信号的平均峰均比后进行门限判决.仿真结果表明:该算法相比传统互相关算法和分段互相关算法有更高的检测成功率.Symbol timing synchronization is a key step in the initial cell search process of wireless private network communication system similar to 5G.Aiming at improving the performance of the traditional correlation algorithm and the segment correlation algorithm in the case of low signal-to-noise ratio,and according to the characteristics of the private network communication system,a joint segment correlation algorithm was proposed.Based on the piecewise correlation algorithm,multiple adjacent primary synchronization signals were combined to improve the detection success rate in the case of low signal-to-noise ratio.Firstly,the segment correlation values of multiple adjacent primary synchronization signals were calculated by using the algorithm.Then,the average peak-to-average ratio of a plurality of primary synchronization signals was calculated according to the segmented correlation values.Finally,the peak-to-average ratio was subjected to threshold judgment.The simulation results show that the proposed algorithm has a higher detection success rate than the traditional cross-correlation algorithm and the piecewise cross-correlation algorithm.
分 类 号:TN929.5[电子电信—通信与信息系统]
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