Radar frequency agility behavior recognition based on bi-cell recurrent neural network
Radar program-controlled frequency agility behavior has a certain ability to resist narrow-band aiming jamming,and can realize the functions of measurement and moving target indication,which brings some difficulties to jamming guidance.For this,a random frequency template method is proposed to model the program-controlled frequency agility behavior of radar,and a bi-cell recurrent neural network(BRNN)is designed to identify the program-controlled frequency agility behavior.The simulation results show that the BRNN can effectively identify the frequency agility behavior of radar program-controlled,and predict the future frequency sequence with a certain probability,which can effectively provide guidance for narrow-band aiming jamming.The simulation results also show that the proposed network can effectively remember and identify a group of nonlinear time sequence.
frequency agilitybehavior recognitionrecurrent neural network(RNN)memory cell
万方数据
维普
