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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.
Aiming at the problem that when the artificial immune system (AIS) is used in the field of electromagnetic signal monitoring, the fluctuation of system input parameters is significantly different and the fluctuation degree will vary with different monitoring environments. An adaptive variable weight immune Network (AVWIN) signal monitoring algorithm.The algorithm can adaptively adjust the weight of each input parameter according to the monitoring environment, so that the signal space signal separation maximum, so as to improve the monitoring performance of the system.At the same time, the actual radio monitoring data to experiment, verify The definition of signal separation rationality, and compared with the general immune network, confirmed that the algorithm can significantly improve the monitoring performance of the system.