A networked radar station deployment method based on particle mechanism immune crowd search

Abstract

The present invention provides a networked radar site layout method based on the particle mechanism immune crowd search, including: establishing the deception probability model and detection range model of the networked radar under deceptive interference; constructing a joint optimization objective function, and determining its constraint conditions ; Initialize the key parameters of the network radar system and the basic parameters of the search team, determine the number of iterations of the particle mechanism immune crowd search; establish the fitness function, initialize the best position of each searcher and the best position of the search team group; use crowd search Method to prepare the vaccine; update the position of each searcher and vaccinate the search team; use elite selection and annealing selection to perform immune selection on the search team and update the best position; use crowd search method to perturb the prematurely convergent search team; judge whether the termination criteria are met. The present invention can quickly and accurately find the optimal radar deployment position without falling into local optimum.

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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