Research On Distribution Algorithm Of Cooperative Penetration Jamming Strategy

The application of netted-radar technology makes a single target almost invisible.Even a combat aircraft with stealth function can not completely avoid radar detection.This is because stealth fighters can absorb radar signals and scatter them.So long as the radar network cooperates with certain stations,the fighter with stealth function can be found.In order to cope with the improvement of radar network in search,location and tracking,it is necessary to use cooperative jamming to protect penetration formation,and to reduce the effect of radar network by allocating jamming resources strategically.The main contents of this paper include:Firstly,the principle and realization of active jamming are studied.The purpose of cooperative jamming is to reduce the role of radar network,such as reducing the search probability and positioning accuracy of radar.In this paper,two jamming modes are studied,one is occlusive jamming and the other is deceptive jamming.The principle and effect of occlusive jamming are analyzed in detail.In order to deal with the problem that the power of jammer is not enough to occlude the echo of radar signal due to coherent accumulation of radar,the principle,condition and realization method of accumulative noise are put forward according to the principle of signal accumulation.In deception jamming,the feasibility and realization of deception of multiple false targets are analyzed.The realization method and time sequence of intermittent sampling repeater interference and intermittent sampling superposition interference are given.At the last of this chapter,the factors affecting the jamming effect are analyzed.Secondly,evaluate the threat level of radar according to the sorted data;study the key processing technology of radar network;put forward the jamming effect evaluation system with detection probability,positioning accuracy and tracking accuracy as indicators in the search stage,positioning stage and tracking stage respectively.Introduce the distance factor into the evaluation index,and put forward the cooperative jamming effect with distance as the main consideration.The objective function of evaluation is constructed,and the model of cooperative interference resource allocation is constructed.The evaluation index of each stage is simulated,which verifies the feasibility and rationality of the index as an evaluation of interference effect.Finally,the process of dynamic programming,an algorithm for cooperative interference strategy allocation,is described in detail.Aiming at the problem of searching for optimal strategy allocation,unsuitable for multi-to-many interference allocation,and explosion of computation in one-to-many strategy allocation,genetic algorithm and particle swarm optimization are applied to interference strategy allocation.The problem of fast convergence of these two intelligent algorithms is studied.The two algorithms are improved respectively.Simulated annealing algorithm is combined with them in particle swarm optimization.Through simulation analysis,both convergence and convergence speed are improved.