一种低复杂度的NB-IoT小区ID检测算法  

A Low Complexity NB-IoT Cell ID Detection Algorithm

作　　者：常铁原[1] 李永旗 闫艺萍 CHANG Tie-yuan;LI Yong-qi;YAN Yi-ping(College of Electronic Information Engineering,Hebei University,Baoding,071000,China)

机构地区：[1]河北大学电子信息工程学院,河北保定071000

出　　处：《光通信研究》2022年第2期69-73,共5页Study on Optical Communications

摘　　要：窄带物联网(NB-IoT)存在多种辅同步信号,需要很多的空间去存储,而NB-IoT有低功耗的要求,因此文章提出了一种自相关与互相关联合的检测算法。该算法首先对辅同步信号进行拆分,利用相位偏移量随着帧号变化的规律,减少了算法中的乘法运算,其次利用Zadoff-Chu(ZC)序列在辅同步信号中的对称性,对接收信号自相关,结合本地信号与接收信号的互相关,可以检测出辅同步信号,求出小区标识(ID)号。通过对比其他算法,文章所提算法在保证性能的前提下,能够极大地降低算法复杂度。Narrow Band Internet of Things(NB-IoT)has many kinds of secondary synchronization signals,which need a lot of space to store.Therefore,the requirement of low power consumption is difficult to be satisfied.In order to solve this problem,we propose a low complexity cell Identity(ID)detection algorithm.Firstly,the algorithm splits the secondary synchronization signal,and reduces the multiplication operation by using the law of phase offset changing with frame number.Then it uses the symmetry of Zadoff-Chu(ZC)sequence in the secondary synchronization signal to calculate the autocorrelation value of the received signal.Combined with the cross-correlation between the local signal and the received signal,the secondary synchronization signal can be detected and the cell ID number can be calculated.By comparing with other algorithms,the proposed algorithm can greatly reduce the complexity of the algorithm while maintaining the acceptable performance.

关 键 词：窄带物联网 小区搜索 辅同步信号 互相关 对称性 

分 类 号：TN915[电子电信—通信与信息系统]