基于数据融合技术的空靶脱靶量测量

脱靶量是检验武器系统性能优劣的重要指标，是靶场进行武器系统打靶试验过程中需要测量的关键参数；目前脱靶量的测量主要依靠雷达或GPS系统完成，光学测量作为备份手段；这种测量方法虽然提高了测量的成功率，但对于冗余数据没有充分利用，测量精度不高；本文利用数据融合技术对测量数据进行了处理，在不增加任何测量设备的情况下，提高了脱靶量测量的精度。

Miss Distance Measurement for Airborne Target Based on Data Fusion Technology

Miss distance is an important index in qualities testing of weapon system,and it is an pivotal parameter which requires measuring accurately in shooting test process.Currently,the miss distance measurement relies mainly on the radar or GPS system,with optical measurement as backup method.The current measurement method improves the measuring success rate,but it is not fully used for redundant data and has low measuring precision.This paper utilized data fusion technology and improved miss distance measurement precision without any increase measurement equipment.