Research On Netted Radar Jamming Resource Allocation Technology Based On Cooperative Penetration

With the development of netted radar technology,traditional single jamming resources can not jam the netted radar effectively,and the target penetration rate is low.In order to protect the target’s successful penetration,it is necessary to use cooperative jamming technology to protect the target.The detection probability and positioning accuracy of netted radar can be reduced effectively by allocating jamming resources reasonably.In the process of cooperative penetration,it is of great significance to evaluate the jamming effect reasonably and allocate the jamming resources appropriately for improving the success rate of target penetration.In this paper,the key technologies of collaborative jamming of netted radar are studied.The main work is as follows:In terms of jamming effect evaluation,the influence factor calculation methods of time domain,frequency domain,space domain and processing domain are analyzed.According to the characteristics of radar working mode,the detection probability and positioning accuracy of netted radar are selected as evaluation indexes,and based on these two indexes,the evaluation model and objective function of collaborative jamming effect of netted radar are established.The simulation results show that the detection probability and positioning accuracy of radar are affected by jamming.The jamming effect of different jamming resource allocation schemes on netted radar is different,which lays a foundation for jamming resource allocation.In terms of static cooperative jamming resource allocation,traditional optimization algorithms cannot quickly find the optimal jamming resource allocation scheme,which is gradually replaced by swarm intelligence algorithm.Aiming at the problems that the existing swarm intelligence algorithms need more parameters and are affected by human factors,an improved cuckoo search algorithm is proposed to solve the problem of jamming resource allocation under static conditions.Firstly,based on the evaluation of jamming effect,the jamming resource allocation model and the objective function of static jamming resource allocation are established.Secondly,tabu search strategy is introduced into cuckoo search algorithm,which makes the algorithm avoid the search of repeated solutions in the later stage,and it is not easy to fall into the local optimal.Finally,the improved cuckoo search algorithm is used to allocate jamming resources in static conditions.The simulation results show that compared with traditional cuckoo search algorithm,improved genetic algorithm and improved particle swarm optimization algorithm,the improved cuckoo search algorithm has better searching ability and searching probability of optimal solution.In terms of dynamic cooperative jamming resource allocation,an improved auction algorithm is proposed to solve the problem of dynamic jamming resource allocation in view of the fact that the existing swarm intelligence algorithm can only reallocate resources in different emergencies,which takes a long time.Firstly,the improved cuckoo search algorithm is used to solve the results of jamming resource allocation under static conditions.Secondly,based on the traditional auction algorithm,the historical information and priority ranking of completed tasks are introduced to reduce the number of transaction rounds in the algorithm.Finally,for different emergencies,the improved auction algorithm is used to allocate the jamming resources under dynamic conditions.The simulation results show that compared with the TSCS algorithm,the improved auction algorithm takes less time;compared with the traditional auction algorithm,the improved auction algorithm can obtain a better solution.