In multi-target ground strike missions by laser-guided bombs,the complexity of the tar-get makes it difficult to accurately quantify the destruction results,and such main factors as the equiva-lent area,importance,and vulnerability of the targets need to be considered simultaneously.Therefore,an improved particle swarm algorithm-based multi-target optimal impact point selection method is pro-posed.Firstly,based on the relationship between the overpressure impulse equation and the location of the impact point,the effective damage range of different vulnerability targets is obtained,and the dam-aged area of the target is accurately calculated by using the grid processing means.Secondly,the Monte Carlo test is performed on the real landing point of the target by combining the equivalent area and the importance degree,and a model for calculating the target destruction probability is given.Thirdly,the par-ticle swarm optimization algorithm is applied to perceive spatial excellence,the maximum value of the destruction volume is redefined as the fitness function,and the priority ranking of the point of impact is determined.Finally,the simulated target is simulated and calculated with the proposed method,and the degree of influence of each key factor on the destruction results is discussed.The method fully takes into account the influence of target complexity on the degree of ground target destruction,which is a guideline for the practical application of laser-guided bombs.
关键词
激光制导炸弹/多目标打击/目标复杂性/粒子群/蒙特卡洛/毁伤体量/毁伤概率
Key words
laser-guided bombs/multi-target strike/target complexity/particle swarm/monte carlo/damage volume/damage probability
维普
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