摘要
将搜索论和随机规划引入到编队协同搜索中。首先,将机载雷达发现目标的概率密度作为对空目标连续探测程度的量化指标,给出编队协同搜索的量化描述式;然后,针对一般期望值模型,提出了求解的混合智能算法;最后,根据目标位置划分搜索空域,建立了预警机指挥下的编队协同搜索力最优分配期望值模型,并通过仿真计算说明了模型的合理性。
In this paper, search theory and random programming are introduced to formation cooperative search analysis. Firstly, the probability density of target discovered by airborne radar is taken as a quantitative performance index for continuous aerial target detecting, and the formula of formation cooperative search is proposed. Secondly, considering the normal expectation model, the hybrid intelligent algorithm is presented. Finally, aerial detection region is partitioned according to the position of the targets. Then the expectation value model for optimal allocation of formation cooperative search capability is constructed. Simulation results show that the model is effective.
出处
《电光与控制》
北大核心
2007年第2期1-3,11,共4页
Electronics Optics & Control
关键词
搜索论
协同搜索
期望值模型
最优分配
search theory
cooperative search
expectation value model
optimal allocation
