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

机译:基于模拟退火算法的多基浮标被动定位研究

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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:声纳浮标是重要的设备之一,在航空反潜中发挥着重要作用。在现代反潜战中,通常采用多基浮标联合搜索潜在方法来探测水下目标的位置,从而扩大了潜艇的探测范围,提高了探测效率。由于这种方法具有良好的隐身性,因此越来越多的研究人员对其进行了研究。根据浮标技术的发展趋势,将具有全局优化能力的模拟退火算法引入到水下目标定位的非线性规划问题中。首先,为多基被动定向浮标(首先和之后)的系统配置建立了适当的目标函数。然后调试适当的退火和停止规则。针对该算法的定位性能和收敛参数进行了许多仿真实验。实验结果表明,目标函数可以收敛到最优解并找到最佳匹配点,以实现有效的定位,并验证了模拟退火算法在多基浮标被动定位中的可行性。

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