基于DWGWO的北斗短报文通信的数据压缩方法  

Data Compression Method for Beidou Short Message Communication Based on DWGWO

作　　者：龚宁 刘朝英 刘憾 禹华归 刘仁开 Gong Ning;Liu Chaoying;Liu Huan;Yu Huagui;Liu Renkai(Duyun Power Supply Bureau of Guizhou Power Grid Co.,Ltd.,Duyun 558017,Guizhou,China)

机构地区：[1]贵州电网有限责任公司都匀供电局,贵州都匀558017

出　　处：《云南电力技术》2025年第1期57-60,共4页Yunnan Electric Power

摘　　要：短报文通信是北斗卫星导航系统的一项特色业务。卫星的短消息处理资源较为稀缺,为了提高资源利用率,需要对多星覆盖区内的短报文卫星分配特性进行分配和规划。本文提出了基于动态权值的灰狼优化(DWGWO)方法,通过小波数据阈值分解(WSDT)对电力数据进行预处理,然后采用模型自由自适应控制(MFAC)动态调整压缩阈值,最后运用改进的灰狼优化算法来寻找最优的压缩参数,实现基于北斗系统的数据传输的非有损数据压缩。将本文算法和其他算法进行对比,压缩比为66.51,平均绝对误差为3.12,均方根误差为3.98,与其他算法进行对比,本文算法压缩比更高,误差更低,提高了数据压缩效率。Short message communication is a characteristic service of the Beidou satellite navigation system.The short message processing resources of satellites are relatively scarce.In order to improve resource utilization,it is necessary to allocate and plan the allocation characteristics of short message satellites within the multi satellite coverage area.This article proposes a Grey Wolf Optimization(DWGWO)method based on dynamic weights,which preprocesses power data through Wavelet Data Threshold Decomposition(WSDT),dynamically adjusts the compression threshold using Model Free Adaptive Control(MFAC),and finally uses an improved Grey Wolf Optimization algorithm to find the optimal compression parameters,achieving lossless data compression for power data transmission based on the Beidou system.Comparing this algorithm with other algorithms,the compression ratio is 66.51,the average absolute error is 3.12,and the root mean square error is 3.98.Compared with other algorithms,this algorithm has a higher compression ratio and lower error,improving data compression efficiency.

关 键 词：北斗短报文通信 数据压缩 动态加权灰狼优化 有损数据 

分 类 号：TM74[电气工程—电力系统及自动化]