低速率窄带物联网远距离通信同步捕获算法  

Low-Rate Narrowband IoT Long-Distance Communication Synchronization Acquisition Algorithm

作　　者：刘耕昕[1] 胡曼青[1] 张燕[1] 袁媛 LIU Geng-xin;HU Man-qing;ZHANG Yan;YUAN Yuan(Chengdu College,University of Electronic Science and Technology of China,Chengdu Sichuan 610000,China)

机构地区：[1]电子科技大学成都学院,四川成都610000

出　　处：《计算机仿真》2022年第2期161-164,356,共5页Computer Simulation

摘　　要：利用当前算法同步捕获远距离通信时没有构建信号模型对原始信号进行初步识别,存在均方误差高、捕获信号性能差和定时抖动长的问题。于是提出低速率窄带物联网远距离通信同步捕获算法。算法首先构建低消耗、高效率的可控制延时信号模型,提前对原始信号进行识别,利用ML准则设计通信专属符号,对信号进行谱分析,并根据序列相关数值之间的相位偏移,预测精频偏,进而得出精确的同步捕获算法,实现远距离通信同步捕获。实验结果表明,所提算法具有均方误差低、捕获信号性能优和定时抖动短的特点,提升了同步捕获性能。During synchronous acquisition long-distance communication, because the signal model does not identify the original signal, the traditional algorithm has high mean square error, poor acquisition signal performance and long timing jitter. Therefore, the synchronous acquisition algorithm of low-rate narrowband Internet of things remote communication was designed. Firstly, a low consumption and high-efficiency controllable delay signal model was constructed to identify the original signal. Secondly, ML criterion was used to design communication-specific symbols. Concurrently, the signal was analyzed by spectrum. Then, according to the phase offset between the sequence correlation values, the fine frequency offset was predicted to obtain an accurate synchronous acquisition algorithm. At last, the remote communication synchronization acquisition was completed. The experimental results show that the algorithm has a low mean square error, excellent acquisition signal performance and short timing jitter.

关 键 词：低速率 物联网 同步算法 远距离通信 信号模型 

分 类 号：TN919[电子电信—通信与信息系统]