蒙特卡洛算法随着时间的积累,精度会越来越高,应用在线导鱼雷发现概率的计算上时也是如此.但是在战场上,往往需要在短时间内得到一定精度的线导鱼雷发现概率,以抢占制敌先机.针对此种情况提出一种基于蒙特卡洛的线导鱼雷发现概率快速解算方法.新方法通过统计使用蒙特卡洛算法,模拟计算鱼雷发现概率时各个计算模块的时间分布,找出耗时较多的算法模块,进行针对性优化,从而达到缩短用时的目的.仿真试验结果表明,快速解算方法在保证结果精度的前提下,明显缩短了线导鱼雷发现概率蒙特卡洛算法的解算时间.%As time goes on,the accuracy of Monte Carlo algorithm will get higher and higher,which is also the case when calculating the probability of finding the wire-guided torpedo. However, on the battlefield, it is often necessary to obtain a certain degree of detection probability of a wire-guided torpedo in a short period of time so as to seize the opportunity of ene-my control. In this paper,a fast Monte Carlo-based method for discovering probability of wire-guided torpedoes is proposed. The new method uses the Monte Carlo algorithm to simulate the time distribution of each calculation module when calculating the torpedo discovery probability,and optimize the most time-consuming algorithm to achieve the purpose of shortening the time-use. The simulation results show that the fast solution method can shorten the solving time of the Monte-Carlo algorithm for the discovering probability of wire-guided torpedoes under the premise of ensuring the accuracy of the results.
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