北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2012, Vol. 35 ›› Issue (2): 59-63.doi: 10.13190/jbupt.201202.59.maj

• 论文 • 上一篇    下一篇

基于自适应变权免疫网络的电磁信号监测算法

马捷1,钟子发2,黄高明1   

  1. 1 海军工程大学 电子工程学院, 武汉 430033; 2 解放军电子工程学院 信息系, 合肥 230037
  • 收稿日期:2011-05-06 修回日期:2011-08-18 出版日期:2012-04-28 发布日期:2012-01-05
  • 通讯作者: 马捷 E-mail:majierex@126.com
  • 作者简介:马捷(1986-),男,博士生,E-mail:majierex@126.com 黄高明(1972-),男,教授,博士生导师

An Adaptive Variable Weighting Immune Network Algorithm for Electromagnetism Signal Monitoring

MA Jie1,ZHONG Zi-fa2,HUANG Gao-ming1   

  1. 1Electronic Engineering College, Naval Engineering University, Wuhan 430033, China; 2 Information Department, Electronic Engineering Institute of the Peoples Liberation Army, Hefei 230037, China
  • Received:2011-05-06 Revised:2011-08-18 Online:2012-04-28 Published:2012-01-05
  • Contact: Jie MA E-mail:majierex@126.com

摘要:

针对人工免疫系统(AIS)用于电磁信号监测领域时,系统输入参数的波动程度差异显著且波动程度会随监测环境的不同发生变化的问题,借鉴变权理论提出了一种自适应变权免疫网络(AVWIN)信号监测算法.该算法能根据监测环境自适应调节各输入参数的权重,使信号空间的信号分离度最大,从而提高系统的监测性能. 同时,采用实际无线电监测数据进行实验,验证了信号分离度定义的合理性,并与普通免疫网络对比,证实该算法可显著提高系统的监测性能.

关键词: 电磁信号监测, 人工免疫系统, 免疫网络, 变权理论

Abstract:

When artificial immune system (AIS) is used in electromagnetism signal monitoring, the monitoring performance is infected because the fluctuation of input parameters is not in the same extent and the extent is changed as the monitoring environment. By introducing variable weight theory, an adaptive variable weighting immune network (AVWIN) algorithm for electromagnetism signal monitoring is presented. The algorithm can adaptively modulate the weight of input parameters according to monitoring environment in order to maximize the signal separating degree. The algorithm has been tested by real wireless signal monitoring data. It is shown that the definition of signal separating degree is reasonable and the algorithm can improve the monitoring performance apparently.

Key words: electromagnetism signal monitoring, artificial immune system, immune network, variable weight theory

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