基于改进遗传算法的雷达网布局方法

Yinlong Wang, Wang Dan, Juntao Ma
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引用次数: 0

摘要

为了提高雷达网的最大预警范围,提出了一种基于改进遗传算法的雷达网布局优化算法。首先,建立了多雷达联合预警概率计算模型。随后,详细介绍了利用蒙特卡洛法计算雷达网预警的过程,并提出了一种改进的遗传算法来解决该问题。改进的遗传算法主要改进了轮盘算法、DNA 选择、交叉和变异。仿真实验表明,改进算法提高了收敛速度。
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A Radar Net Layout Method Based on Improved Genetic Algorithm
In order to improve the maximum warning range of radar networks, an optimization algorithm for radar network layout based on improved genetic algorithm is proposed. First, a joint early warning probability calculation model for multiple radars was established. Subsequently, a detailed process for calculating early warning using the Monte Carlo method for radar networks was presented, and an improved genetic algorithm was proposed for solving the problem. The improved genetic algorithm mainly improves on the roulette algorithm, DNA selection, crossover, and mutation. Simulation experiments show that the improved algorithm improves the convergence speed.
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