临近空间传感器动态组网优化部署研究

Optimal Disposition on Near Space Sensor Dynamic Netting

为了提高临近空间传感器系统整体性能,更好地适应现代条件下的高科技电子战、信息战,提出了一种基于遗传算法的临近空间传感器动态组网优化部署方法,建立了临近空间传感器组网优化部署的数学模型,给出遗传算法在该优化问题中的求解过程和步骤,为加快求解速度对遗传算法进行了改进。通过组网仿真表明该方法能够快速得出多种优化部署方案,从而为传感器组网部署提供了科学、有效的支持。

To improve the function of near space sensor system and make it better adapted to the high-tech electronics and information war under modern conditions, an optimal disposition method based on genetic algorithm is presented for near space sensor dynamic netting and a mathematical model for radar optimal disposition is established according to the analysis of regional sensor netting. Therewith, the solving process of the genetic algorithm （GA） for this optimization problem is discussed, and the improved GA to expedite the solving velocity is presented. Finally, through censor netting imitation, several netting schemes can be obtained much more quickly with this method which can offer a scientific and support for it.