基于自适应变权免疫网络的电磁信号监测算法

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.

An Adaptive Variable Weighting Immune Network Algorithm for Electromagnetism Signal Monitoring

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.