为了提高反舰导弹的预定目标选择能力,提出基于GTLS-ICP(generalizedtotalleastsquares-iterativeclosestpoints)算法的预定目标选择方法。首先分析目标的定位噪声并用各向异性的高斯噪声近似模拟,然后基于GTLS-ICP算法给出了预定目标选择算法。对于文中所研究的问题,GTLS-ICP算法容易收敛到局部最优值,导致目标选择能力较差,为此研究了促使GTLS-ICP算法收敛到全局最优值的措施。与以往基于编队相互位置关系的预定目标选择方法相比,该方法不受编队旋转的影响,仿真实验证明了这一结论。

A target selection shandong method was introduced based on GTLS-ICP algorithm for improving the target selection ability of anti-ship missile (ASM). Firstly, the locating noise of the targets was analyzed and then approximated with anisotropic, Gaussian noise. Then a target ship selection algorithm was presented based on GTLSICP algorithm. The GTLS ICP algorithm is prone to convergence to local optimal and then leads to inferior performance while being used to solve the problem of this paper. So, some measures were introduced to make the GTLS-ICP algorithm convergence to the global optimal. Compared with the target ship selection method based on the position relationships of ships in a formation, the method of this paper is uninfluenced by the rotation of the ship formation, which is proved by simulation experiments.