首页> 外文会议>International Conference on Autonomic and Computing >Multi-base buoys passive localization research based on simulated annealing algorithm
【24h】

Multi-base buoys passive localization research based on simulated annealing algorithm

机译:基于模拟退火算法的多基础浮动被动定位研究

获取原文

摘要

Sonobuoy is one of the important equipments, which plays a great role in aviation anti-submarine. In modern anti-submarine warfare, multi-base buoys joint search potential way is often adopted for detecting position of underwater target, which wide the detective range of the apply tile submarine and improve the detective efficiency. More and more researchers have concerned this method because of its favorable invisibility. According to the trend of buoy technology, the simulated annealing algorithm, which has the ability of global optimization, was introduced into the nonlinear programming problem of underwater target's localization. Firstly, a proper objective function for the system configuration of multi-base passive directed buoys (at first and) is built. Then the appropriate annealing and stop rules are debugged. Many simulation experiments were be analyzed about the positioning performance and convergence parameters of this algorithm. Experimental results illustrate that the objective function can converge to the optimum solution and find the best matched point to realize effective localization, and the feasibility of the simulated annealing algorithm in the multi-base buoys passive localization also is confirmed.
机译:Sonobuoy是重要的设备之一,在航空反潜作用中发挥着重要作用。在现代抗潜艇战中,多基础浮标联合搜索潜在方法经常采用水下目标的位置检测,宽度施用瓷砖潜艇的侦探范围,提高侦探效率。由于其有利的隐形,越来越多的研究人员涉及这种方法。根据浮标技术的趋势,引入了水下目标本地化的非线性规划问题的模拟退火算法。首先,构建了多基站被动定向浮标(首先和)系统配置的适当目标函数。然后调试相应的退火和停止规则。关于该算法的定位性能和收敛参数,分析了许多模拟实验。实验结果表明,该目标函数可以收敛到最佳解决方案并找到最佳匹配点,实现有效的定位,并且在所述多基浮标被动定位也被确认的模拟退火算法的可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号