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作 者:江航 曹龙汉[2] 张治中[1] 胡昊南 JIANG Hang;CAO Longhan;ZHANG Zhizhong;HU Haonan(School of Communication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Key Laboratory of Control Engineering,Chongqing Communication University,Chongqing 400065,China)
机构地区:[1]重庆邮电大学通信与信息工程学院,重庆400065 [2]重庆通信学院控制工程重点实验室,重庆400065
出 处:《电讯技术》2021年第4期476-481,共6页Telecommunication Engineering
基 金:国家自然科学基金资助项目(61901075);重庆市重点产业共性关键技术创新重大主题专项项目(sctc2019jscx-zdztzxX0002)。
摘 要:对于第三代合作伙伴计划(The 3rd Generation Partnership Project,3GPP)中的5G新空口(New Radio,NR)系统,同步信号检测算法的计算非常复杂,根据主同步信号的特性,提出了分段互相关与对应叠加的联合检测算法。该算法只对接收信号进行一次与本地主同步信号(Primary Synchronization Signal,PSS)序列之和的分段相关处理,即可得到相关峰值的位置,并检测到粗同步点的位置,进一步对粗同步点做局部互相关,根据最大峰值检测出精同步点,降低了计算的复杂度。对传统互相关算法、分段互相关算法和改进算法进行了理论推导和复杂度对比分析,结果表明,相对于传统互相关算法,改进后的算法有效降低了计算量,提升了抗频偏性能。For the 5G New Radio(NR)system in The 3rd Generation Partnership Project(3GPP),calculation of the synchronization signal detection algorithm is very complicated.According to the characteristics of the main synchronization signal,a joint detection algorithm of segment cross-correlation and corresponding addition is proposed.This algorithm only performs segment correlation processing on the received signal once and the sum of the local primary synchronization signal(PSS)sequence to obtain the position of the correlation peak.The position of the coarse synchronization point is detected,and further local cross-correlation is performed on the coarse synchronization point,and the fine synchronization point is detected based on the maximum peak,which reduces the computational complexity.The traditional cross-correlation algorithm,segmented cross-correlation algorithm and improved algorithm are theoretically deduced and the complexity is compared and analyzed.The results show that compared with the traditional cross-correlation algorithm,the improved algorithm can effectively reduce the computation and improve the performance of frequency offset resistance.
分 类 号:TN929.5[电子电信—通信与信息系统]
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