Networking radar station distribution method based on particle mechanism immune population search

Abstract

The invention provides a networking radar station distribution method based on particle mechanism immune population search. The method comprises the steps that a deceived probability model and a detection range model of networking radar under deceptive interference are established; a joint optimization objective function is established, and constraint conditions of the joint optimization objective function are determined; key parameters of a networking radar system and basic parameters of search teams are initialized, and the iteration number of the particle mechanism immune population search is determined; a fitness function is determined, and the best positions of single searchers and the best positions of search teams are initialized; a vaccine is prepared by using a popularization searching method; the positions of the searchers are updated, and the vaccine is inoculated to the search teams; immune selection is conducted on the search teams through elite selection and annealing selection, and the best positions are updated; by using a population searching method, premature convergent search teams are disturbed; whether the termination standard is met or not is judged. By adopting the method, optimal radar station distribution positions can be rapidly and accurately found under the situation that trapping in local optimum does not occur.

Description

technical field [0001] The invention relates to a method for deploying networked radar stations based on particle mechanism immune crowd search, and belongs to the technical field of radar anti-jamming. Background technique [0002] Under the conditions of high-tech local wars, radar equipment is in a harsh electromagnetic environment, and the combat environment is becoming more and more complex. It faces the "four major threats" posed by advanced anti-radiation missiles, electronic jamming, target stealth, and low-altitude penetration. The performance of a single radar can no longer meet the demand. Therefore, in order to address the above-mentioned threats, it is necessary to base on the existing radar and conduct radar networking based on advanced multi-band radar and advanced computer technology, and multi-radar networking is also the future development of radar technology. One of the inevitable trends. Radar networking is a huge and complex system engineering. One of i...

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Problems solved by technology

The above model uses the Monte Carlo method to solve the problem of too much calculation in the traditional empirical method when solving the area of ​​a medium-scale and moderately complex multivariate integral, and realizes the optimal station deployment of the networked radar with the largest detection range. However, considering In reality, the complex electromagnetic environment and the existence of various types of interference, only increasing the detection range of the networked radar can no longer meet the actual needs

[0005] It is a very complicated practical engineering problem for networked radars to reduce the probability of being deceived while increasing its detection range. One condition, the current optimization algorithm cannot effectively solve this joint optimization problem, and the location of node radar stations in the networked radar system also needs to meet the constraints of actual conditions. This optimization problem with constraints is being solved using existing methods. become more complex when processing

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