基于反馈的时空联合数据融合算法研究  

Research of Space-Time Joint Fusion Algorithm with Feedback Information

作　　者：王景珲 金梁[1] 

机构地区：[1]国家数字交换系统工程技术研究中心,河南郑州450002

出　　处：《信息工程大学学报》2017年第1期51-54,60,共5页Journal of Information Engineering University

摘　　要：针对城市无线频谱检测中信号检测面临的高检测效率的要求,提出了基于截断型序贯检测的时空联合融合算法,在此基础上进一步提出基于反馈的时空联合数据融合算法,并进行了仿真分析。仿真结果表明基于截断型序贯检测的时空联合融合算法,有效缩短了平均检测时间;基于反馈时空联合数据融合算法,利用判决信息和知识库动态调整传感器参数,明显减小了采样样本数,提高了系统检测效率。To realize high detection efficiency for city electromagnetic spectrum monitoring, a space- time joint fusion algorithm based on truncated sequential probability radio test is presented. Further- more,a space-time joint fusion algorithm with feedback information is proposed, along with the simu- lation analysis. Simulation results show that the space-time joint fusion algorithm based on truncated sequential probability radio test can decrease the mean time of the electromagnetic spectrum monito- ring. It also indicates that the space-time joint fusion algorithm with feedback information, adjusting multi-sensor settings by using the known judgments and the knowledge repository, can reduce the number of sampling points largely and then increases detection efficiency observably.

关 键 词：数据融合 反馈信息 序贯检测 时空联合 

分 类 号：TN911.7[电子电信—通信与信息系统]