摘要
为了解决网格化无线电监测的布局和信号处理问题,提出一种基于独立成分分析(ICA)方法的监测方案,利用ICA方法对监测信号进行处理,达到源信号分离及异常信号源检测的目的。搭建仿真平台对该方案的可行性和有效性进行仿真验证,并对影响监测效果的因素进行分析,结果表明,该方案对源信号分离和异常信号源的检测具有较好的效果。
An independent component analysis(ICA)based method is designed for improving the effect of grid radio monitoring and providing an effective layout of the monitoring system,in which the source signals can be retrieved and sudden emergence of abnormal signal sources can be detected.To analyze the multiple factors affecting the performance of the method,a MATLAB simulation modeling is built.The feasibility and efficiency of the proposed ICA based method are also demonstrated.
作者
张竟枢
吕梦菲
李斗
杨延军
赵玉萍
ZHANG Jingshu;LüMengfei;LI Dou;YANG Yanjun;ZHAO Yuping(Institute of Advanced Communications,Peking University,Beijing 100871)
出处
《北京大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2018年第2期307-314,共8页
Acta Scientiarum Naturalium Universitatis Pekinensis
基金
国家自然科学基金(61471405)资助
关键词
无线通信
网格化监测
独立成分分析
异常检测
wireless communication
grid monitoring
independent component analysis(ICA)
anomaly detection
