Abstract:

In order to eliminate the decoy targets caused by various jamming,the support vector machine adopted in the target fusion recognition is presented to solve the multi-dimension feature data fusion problem in active-passive composite terminal guidance radar.Through a quantitative analysis of the feature of jamming aimed at the terminal guidance radar,the parameters including the RCS,the scale of range dimension,Doppler width of the active radar,and the output of the passive radar detection with feature signal are selected,and then fused adopting the support vector machine.The simulation result shows that only using the active radar feature,the recognition ratio of the true-false targets testing sample is 74%.The recognition ratio is increased to 83% by using the active and passive radar feature simultaneously.

Key words: fusion recognition;support vector machine;active-passive composite anti-jamming