Recognition and suppression of forwarded jamming based on K-means algorithm
Forwarded jamming is the interference signal transmitted after modulating the intercepted radar signal,which has a strong correlation with target echo in space,time and frequency domains.When the radar re-ceiver performs signal processing,this kind of jamming can obtain matching filter gain,form several false tar-gets,and realize both deception and suppression jamming effects.Combined with frequency agile technology,the clustering idea is used to realize interference recognition and suppression in pulse compression domain.Simulation results show that the proposed method can effectively suppress the dense false target jamming,and still has good anti-jamming effect when the jamming power is large.
anti jammingfrequency agile radardense false targets jammingK-means clustering
NETL
NSTL
万方数据
