Cooperative Jamming Resource Scheduling For Multi-jammer Jamming Netted Radar System

In order to response the complicated electronic interference technology and severe warfare threat,the traditional monostatic radar is developing to the multi-radar networking.With the outstanding characteristics of the diverse working mode,system and bandwidth,multi-station space diversity,multi-station cooperation,data fusion and information sharing,the Netted Radar System(NRS)has excellent target detection and tracking performance in the electromagnetic interference environment.The cooperative jamming technology is studied widely to confront the NRS.The concrete content of the cooperative jamming is that multiple jammers are organically networked and the interference resources are uniformly scheduled to achieve the optimal interference performance.The jamming resources are practically limited,such as jamming beam,transmitting power and so on.Therefore,how to reasonably allocate the limited jamming resources to improve the global interference effect on NRS becomes an urgent problem to be solved in the NRS countermeasure field.The cooperative jamming resource scheduling is studied in this thesis.The main contributions are as follows:1.To solve the problem of cooperative jamming resource allocation for multijammer suppressing the NRS,the following researches are developed:(1)The system model of multi-jammer cooperatively interfering the NRS is established;(2)The detection probability of NRS with resource variables in the suppression jamming environment is derived and utilized as the metric of interference performance;(3)For the problem of joint beam and power resource allocation,a joint optimization model is established based on the optimization criterion of minimizing the overall detection probability of NRS for multiple targets.Then a two-step solution algorithm with PSO is proposed;(4)Considering the number of jamming beams influences the resource utilization and jamming performance,a cooperative jamming resource scheduling method based on the controllable beam quantity is designed.The proposed algorithm adaptively adjusts the number of beams in accordance with the task requirement and battlefield situation.2.With the insufficient prior information and parameter uncertainty of NRS,the traditional jamming resource scheduling algorithm under deterministic parameters can lead to the degradation of interference performance.Therefore,a robust interference resource allocation method based on the parameter uncertainty of NRS is proposed in this thesis.The model of the parameter uncertainty of NRS is established.To avoid the effect of parameter uncertainty on interference performance,an optimization problem of robust jamming resource allocation is designed by minimizing the maximal global cost function with uncertainty.3.Aiming at the problem that jammers are found more easily by NRS when implementing deception jamming,a cooperative jamming resource scheduling algorithm based on complex jamming is proposed.Firstly,a track deception jamming model is built with the yaw angle of jammer as the flight control parameter.Then,the linear weighted sum of three cost functions is used as the objective function.By minimizing the objective function and combining the function with the constraints of flight parameters and jamming resources,the resource optimization problem is formulated.Finally,the optimization results of jammer trajectory and resource allocation are obtained by the proposed step-by-step solution.The numerical experiments demonstrate the efficiency of the proposed strategy.