摘要
浮标优化布阵是实现对水下运动探测的关键技术。利用遗传算法优化浮标布阵模型,通过蒙特卡洛方法仿真,得到优化后的探测概率,并与传统布阵模型进行比较。经遗传算法优化后的布阵模型强化了浮标工作时间的影响,在相同条件下具有更高的搜索概率。
Optimizing sonobuoy embattlement is the key technology on detecting moving target underwater. This article used GA method to optimize the position of sonobuoy depend on the detect probability, which derived from Monte Carlo method. Compared with traditional models, the sonobuoy which was optimized emphasized the influence caused by sonobuoy work time,and more likely to find the submarine.
出处
《国外电子测量技术》
2010年第1期17-19,共3页
Foreign Electronic Measurement Technology
基金
国家自然科学基金(60572161)资助项目
关键词
遗传算法
浮标阵型
探测概率
genetic algorithm
sonobuoy embattlement
detect probability
