基于小区间干扰消除的NB-IoT时延估计算法  

Time delay estimation algorithm of narrow band internet of things based on inter-cell interference cancellation

作　　者：唐宏[1,2] 牟泓彦 杨浩澜[1,2] TANG Hong;MOU Hongyan;YANG Haolan(School of Telecommunication and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,China;Chongqing Key Lab of Mobile Communications Technology,Chongqing University of Posts and Telecommunications,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]重庆邮电大学移动通信技术重庆市重点实验室,重庆400065

出　　处：《通信学报》2019年第2期92-101,共10页Journal on Communications

基　　金：长江学者和创新团队发展计划基金资助项目(No.IRT_16R72)

摘　　要：针对窄带物联网(NB-Io T)低功耗、低成本、低采样率等特点,提出了一种基于小区间干扰消除的NB-Io T时延估计算法,所提算法引入了小区间迭代干扰消除算法,以逐步消除各小区信号之间的相互影响。在每一次迭代中,在传统相关算法的基础上引入时频互相关交叠的思想来提升时延估计精度以突破采样率的限制,并采用基于噪声门限的首达径(FAP)搜索算法来抑制多径效应的影响。仿真结果表明所提算法可以在相关算法的基础上明显提高NB-IoT的时延估计精度。Aiming at the characteristics of NB-IoT such as low power consumption,low cost and low sampling rate,an NB-IoT delay estimation algorithm based on inter-cell interference cancellation was proposed.To gradually eliminate the interaction between signals in each cell,an inter-cell iterative interference cancellation algorithm was considered.In each iteration,the idea of time-frequency cross-correlation overlapping was introduced on the basis of traditional correlation algorithms to break through the limitations of the sampling rate and further improve the accuracy of time delay estimation.At the same time,a first-arrival-path(FAP)searching algorithm based on noise threshold was used to suppress multipath effects.Through experimental simulation,the results show that the proposed algorithm can significantly improve the time delay estimation accuracy of NB-IoT on the basis of related algorithms.

关 键 词：窄带物联网 时延估计 小区间干扰消除 首达径搜索 

分 类 号：TN929.5[电子电信—通信与信息系统]