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