Acta Scientiarum Naturalium Universitatis Pekinensis ›› 2018, Vol. 54 ›› Issue (2): 307-314.DOI: 10.13209/j.0479-8023.2017.173

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An ICA Based Method for Grid Radio Signal Monitoring

ZHANG Jingshu, LÜ Mengfei, LI Dou, YANG Yanjun, ZHAO Yuping   

  1. Institute of Advanced Communications, Peking University, Beijing 100871
  • Received:2017-01-17 Revised:2017-07-13 Online:2018-03-20 Published:2018-03-20
  • Contact: LI Dou, E-mail: lidou(at)pku.edu.cn

一种基于ICA方法的网格化无线电监测方案

张竟枢, 吕梦菲, 李斗, 杨延军, 赵玉萍   

  1. 北京大学现代通信研究所, 北京 100871
  • 通讯作者: 李斗, E-mail: lidou(at)pku.edu.cn
  • 基金资助:
    国家自然科学基金(61471405)资助

Abstract:

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.

Key words: wireless communication, grid monitoring, independent component analysis (ICA), anomaly detection

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。

关键词: 无线通信, 网格化监测, 独立成分分析, 异常检测

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