摘要
5G NR时代对速率、容量和用户体验都有更高的要求。在5G NR物理层中,小区搜索是不可或缺的过程。小区搜索主要包括主同步信号(primary synchronization signal,PPS)检测算法以及辅同步信号(secondary synchronization signal,SSS)检测算法。传统PSS检测算法和SSS检测算法已无法满足5G NR各项指标的基本需求。为了解决这一问题,在传统M分段互相关检测算法基础上提出了改进PSS检测算法。当信道环境恶劣时,传统SSS检测算法也将失效,提出的改进SSS检测算法可以解决此问题。最后,对传统算法和改进算法进行仿真对比分析。仿真结果表明,改进算法的检测性能明显提升,检测效率和整体性能也提高了。
The era of 5G NR has higher requirements for speed,capacity and user experience.In 5G NR physical layer,cell search is an indispensable process.Cell search mainly includes primary synchronization signal(PSS)detection algorithm and secondary synchronization signal(SSS)detection algorithm.The traditional PSS detection algorithm and SSS detection algorithm can’t satisfy the basic requirements of 5G NR.In order to solve this problem,an improved PSS detection algorithm based on the traditional M-segment cross-correlation detection algorithm was proposed.When the channel environment is bad,the traditional SSS detection algorithm will also fail.The improved SSS detection algorithm proposed can solve this problem.Finally,the traditional algorithm and the improved algorithm were compared and analyzed.The simulation results show that the detection performance of the proposed algorithm is significantly improved,and the detection efficiency and overall performance are also improved.
作者
董宝江
彭琛
卢贺
DONG Baojiang;PENG Chen;LU He(DT Link Tester Technology Co.,Ltd.,Beijing 100083,China)
出处
《电信科学》
2021年第2期48-54,共7页
Telecommunications Science
