摘要
武器系统试飞测试中,需对表征武器特性的脉冲信号进行测量,由于该脉冲宽度很窄,要求其信号采样率大于20 MHz,因此一个试飞架次可产生8000 G的数据量。为了满足如此大数据的传输存储要求,设计了基于数据重构的自适应间隔游程压缩算法。该算法采用阈值滤波技术和数据重组技术,实现了采样数据的实时拆分与重构,提高了武器系统脉冲数据的可压缩性,设计了自适应游程长度编码协议,实现了数据压缩长度的动态调整,提高了数据的压缩效率。试验表明:该算法能够完成武器脉冲信号的压缩,压缩数据可达2.3 G,该算法已经成功应用于试飞测试系统中,满足了武器系统试飞数据采集与压缩的要求。
In the test flight test of weapon system,it is necessary to measure the pulse signal characterizing the characteristics of the weapon.Because the pulse width is very narrow and the signal sampling rate is required to be greater than 20 MHz,a flight test flight can generate 8000 G of data.In order to meet the transmission and storage requirements of such large data,an adaptive interval run-length compression algorithm based on data reconstruction was designed.The algorithm first used threshold filtering technology and data reorganization technology to achieve real-time splitting and reconstruction of sampled data,and improved the compressibility of weapon system pulse data.At the same time,an adaptive run length encoding protocol was designed to realize the dynamic adjustment of the data compression length,which greatly improves the data compression efficiency.Experiments show that the algorithm can complete the compression of weapon pulse signals,and its compression rate can reach 2.3 G,and the algorithm has been successfully applied to the test flight test system,which meets the requirements of weapon system test flight data collection and compression.
作者
王宽
石冯磊
宫海波
WANG Kuan;SHI Fenglei;GONG Haibo(Chinese Flight Test Establishment, Xi’an 710089, China)
出处
《兵器装备工程学报》
CAS
CSCD
北大核心
2021年第1期98-102,共5页
Journal of Ordnance Equipment Engineering
基金
军工科研院所稳定支持项目(WD-2019-2-2)。
关键词
数据重构
阈值滤波
自适应间隔
武器脉冲
游程压缩
data reconstruction
threshold filtering
adaptive interval
weapon pulse
run-length compression
