摘要
随着靶场大射程、新概念武器装备试验对遥测数据处理的精细化与时效性要求越来越高,传统依靠人工分析和判断的多站遥测数据对接方法很难自动化构建,而且数据源分别检查、分段对接存在时间消耗长和资源利用率低等不足。针对这些问题,提出一种基于全帧最优的多站遥测数据融合方法,该方法在对多站数据源时间修正、全帧数据编号与对齐、共同跟踪段落优先级判定的基础上,将数据融合过程简化为按全帧编号由小到大的顺序通过全帧有效性判定和全帧修复算法依次进行全帧选优与全帧修复的过程,最终形成融合数据流。实践结果表明:该数据融合方法能够最大化利用多站数据源信息,实现对多站数据源自动化选优与修复,提高了数据利用率和数据处理效率,具有很强的实用价值。
Given the increasing demand of the precision and timeliness of telemetry data processing in the weapon equipment test of long distance and new concept weapons,traditional multi-station telemetry data docking method relying on manual analysis and judgment is difficult to build automatically,and data source checking and sectional docking is time-consuming with low resource utilization.To solve these problems,a multi-station telemetry data fusion method based on full-frame optimization is proposed.This method simplifies the data fusion process into full frame optimization and full frame repair by full-frame validity determination and full-frame repair algorithm in the order of full-frame number from small to large,on the basis of multi-station data source time correction,full-frame data numbering and alignment,and joint tracking paragraph priority determination,and eventually form a fusion data stream.Experimental result shows that the data fusion method can maximize the usage of multi-station data source information,achieve automatic selection and repairing of multi-station data sources,improve data utilization and data processing efficiency,and has strong practical value.
作者
杨军
张东
Yang Jun;Zhang Dong(PLA Unit 92941,Huludao 125000,China)
出处
《电子测量技术》
2019年第17期101-105,共5页
Electronic Measurement Technology
关键词
遥测数据
多站数据
全帧最优
融合方法
telemetry data
multi-station data
frame optimization
fusion method
作者简介
杨军,工程师,主要研究方向为事后数据处理。E-mail:271808849@qq.com;张东,硕士,高级工程师,主要研究方向为遥测事后数据处理。
