改进ICP的编队预定目标选择方法

A Method to Select the Expect Target from a Ship Formation Based on Improved ICP Algorithm

如何对编队预定目标进行自动选择,是超视反舰导弹亟待解决的一个问题。基于ICP(Iterated ClosestPoint)的预定目标选择方法利用了编队形状信息,获得了比传统方法更好的预定目标选择概率。但ICP算法易受干扰点的影响,且因受初始点选取的影响容易收敛到局部最优值。为了提高预定目标选择概率,提出了基于改进ICP算法的预定目标选择方法。改进ICP算法相对标准ICP算法增加了以下两点改进策略:利用加权距离函数削弱干扰点影响;利用随机扰动控制收敛过程跳出局部收敛域。仿真计算表明改进措施的有效性,特别是在干扰情况下预定目标选择概率显著提高。

It is in dire need of a method to select the expected target from a ship formation for over-horizon Anti-ship Missiles. It was proved that the method based on iterated closest point （ICP） algorithm is better than the traditional method. However, the ICP algorithm is prone to be influenced by interference, and is prone to converge to local optimal values. An improved ICP algorithm is presented in this paper to improve the probability to correctly select the expected target. There are two improvements compared with standard ICP algorithm：one is a weighted distance function to weaken the influence of interference, another one is a stochastic motion to make the convergence out of the local convergence area. Simulation computations show that the improved method is superrior to former method in the probability to correctly select the expected target, especially while the interference is being.