摘要
针对靶场外弹道数据处理过程中数据实时预处理的需要,在对最小二乘估计野值剔除算法分析的基础上,提出一种计算量小,满足实时性要求,且对雷达、光电经纬仪等大型测试设备数据预处理具有通用性的自适应野值剔除算法。该算法把连续5个实测数据的标准差的3倍作为阈值,以此判定下一个数据点是否为野值,最终完成整个弹道的实时野值剔除。通过Mat-lab仿真验证及实测数据分析表明,该算法对孤立野值点的剔除率可以达到100%,适用于靶场外弹道数据的实时预处理。
A new algorithm was studied to satisfy exterior trajectory data pre-treatment. The algorithm not only provided an effective method to real-time data processing but also had low computational cost. It was an adaptive outlier removal algorithm, which had good adaptability for radar data and photoelectric theodolite data. The standard deviation of the five successive test data was multiplied by three and the product was taken as threshold. The new method of calculating the dynamic threshold could complete real-time outlier removal of exterior trajectory data. Matlab simulation and measured data analysis proved that the proposed algorithm could completely removed isolated outlier. It is suitable for real-time exterior trajectory data processing.
出处
《应用光学》
CAS
CSCD
北大核心
2012年第1期90-95,共6页
Journal of Applied Optics
基金
国防基础科研-靶场网络化综合测试系统研究(B0920060335)
关键词
兵器测试
靶场
网络化综合测试
实时
自适应
野值剔除
weapon test
shooting range
networked integrated test
real-time
adaptive
outlier removal
作者简介
作者简介：徐利娜（1980-），女，河南濮阳人，工程师，硕士研究生，主要从事靶场试验数据处理工作。E-mail：xulina1980121@163．com
