为实现激光引信对雷达目标的探测识别,提出了基于多路窄波束激光测距的目标识别方法,建立了以测距值的突变来识别目标高度和宽度的数学模型;在光路数目一定时,通过求解探测平面内目标出现概率密度函数的Lebesgue积分,确定了使探测概率最大的最优光路间夹角,并对典型的弹目交会情形进行了仿真分析。结果表明,探测概率随导弹进入角的减小、目标天线高度的增加而增大,最优光路夹角呈中间密、两边疏的排列。

To enable laser proximity fuze of anti-radiation missile(ARM) to detect and recognize radar targets, a detection and recognition method put forward based on multi-beam narrow laser light additionally, a mathematical model established change in distance measured by laser fuze to recognize targets' height and width. By calculating Lebesgue integral of target occurring probability distribution function, the optimal light beam angle achieved, which maximize the detection probability with a fixed light beam number. Besides, typical munitions-target encounter simulation carried out. The result shows that the detection probability increases with decreas of ARM trajectory angle and of the height of target antenna, and the optimal light beam angles are dense in the middle of detection plane and spare in the edge.