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导弹拦截空中活动目标(如飞机、靶机)的飞行试验中,脱靶距离是一个重要的指标。无源脱靶量测量设备,可以采用直读法获得脱靶距离。但是直读法精度较低,有时不能获得最小脱靶距离。本文介绍的数据平滑(滤波)的处理方法,不但精度较高,而且可以有所获得的数据求得最小脱靶距离。本文从正交多项式■原理出发,给出了二次曲线拟合的脱靶距离最佳估计公式。并给出了若干算例。计算结果表明:数据平滑方法,对提高脱靶距离的测量精度有明显的效果。
Missile distance is an important indicator in the flight tests conducted by missiles to intercept air-moving targets (such as aircraft and target aircraft). Passive off-target measurement equipment, you can use direct reading method to get the off-target distance. However, the accuracy of direct reading method is low, and sometimes can not get the minimum off-target distance. This article describes the data smoothing (filtering) approach, not only high accuracy, and can get the data obtained minimum off-target distance. Based on the principle of orthogonal polynomials, this paper presents the best estimation formula of off-target distance for quadratic curve fitting. Some examples are given. The calculation results show that the data smoothing method has obvious effect on improving the measuring accuracy of off-target distance.