面向物联网终端的动态多用户信号盲检测算法  

Dynamic Multi-User Signal Blind Detection Algorithm for IoT Terminals

作　　者：梁爽 邓江[2] LIANG Shuang;DENG Jiang(Robotics Engineering Laboratory for Sichuan Equipment Manufacturing Industry,Deyang Sichuan 618000,China;University of Electronic Science and Technology of China,Chengdu Sichuan 610054,China)

机构地区：[1]四川省装备制造业机器人应用技术工程实验室,四川德阳618000 [2]电子科技大学,四川成都610054

出　　处：《计算机仿真》2021年第9期334-338,共5页Computer Simulation

摘　　要：目前多用户信号盲检测算法没有对初始信号进行预处理,存在盲检时间长、盲检成功率低和盲检检测概率低的问题,提出面向物联网终端的动态多用户信号盲检测算法。在物联网终端对初始信号进行填补、删除或修改异常信号等处理,并利用聚类分析法和主成分分析法分别提取出物联网终端信号关键因子,利用判断公式判别出两种方法的关键因子是否相似,通过小波分解对相似的关键因子进行去噪降维处理,重构出有效信号,并对有效信号所在的重复周期进行合并译码,提高盲检性能,设定两个相关阈值,实现物联网终端多用户信号盲检测。实验结果表明,盲检时间短、盲检成功率高和盲检检测概率高。Currently,the multi-user signal blind detection algorithm does not preprocess the initial signal,which has the problems of long blind detection time,low blind detection success rate and low blind detection probability.In this regard,this paper puts forward a dynamic multi-user blind signal detection algorithm for Internet of things terminal.Firstly,the initial signal was filled and deleted,the abnormal signal was modified,and the key factors of Internet of Things terminal signal were extracted by cluster analysis and principal component analysis.Secondly,based on the judgment formula,the similarity of the key factors of the two methods was determined.Then,the effective signal is reconstructed by denoising and dimensionality reduction of similar key factors through wavelet decomposition.The repetition period of the effective signal was combined and decoded to improve the blind detection performance.Finally,two correlation thresholds were set to achieve blind detection of multi-user signals in Internet of Things terminals.Experimental results show that the algorithm has short blind detection time,high blind detection success rate and detection probability.

关 键 词：物联网 信号预处理 信号终端 检测算法 盲检测 

分 类 号：TN911[电子电信—通信与信息系统]