数据压缩技术在海洋资料浮标通信系统中的应用

doi:10.3976/j.issn.1002-4026.2015.02.001

Abstract

Abstract: We propose a realtime lossless data compression technology forbit splicing, LZW and improved LZW combined approach to reduce transmission time and cost of the communications system of an ocean data buoy. Its average compression ratio is less than 40%, which can reduce communication time.Practical application shows that this technology improves data compression ratio,reduces communication cost and guarantees system reliability.

Key words: ocean data buoy, LZW, data compression, bit splicing, improved LZW

CLC Number:

P715.2

WANG Wenyan,LI Wenqing,WANG Xiaoyan,WANG Bo. Application of data compression in the communications system of an oceandata buoy[J].SHANDONG SCIENCE, 2015, 28(2): 1-5.

References

［1］任建明，陈永华，刘长华.中国近海海洋科学观测研究网络［J］.科研信息化技术与应用，2011,2（5）：72-80. ［2］李文庆，付晓，王文彦，等.北斗二代卫星导航系统在海洋资料浮标监控与管理中的应用［J］.山东科学，2012,25（6）:21-26. ［3］袁敏.基于北斗/WebGIS技术的船舶监控系统研究［D］.上海：华东师范大学，2011. ［4］邓玉芬，张博，沈明，等.基于北斗卫星的海洋测量数据传输系统［J］.海洋测绘，2009,29（4）:67-69. ［5］黎明，时海勇. 基于北斗卫星的大型海洋浮标通信机制研究［J］. 海洋技术，2012，31（1）：1-5. ［6］胡翔.北斗在水文监测系统中的应用［J］.无线电工程，2009,39（10）：62-64. ［7］杨鹏飞，张鹏，赵洁，等.LZW数据压缩技术在野战炮兵指挥系统中的应用［J］.弹箭与制导学报，2011,31（1）:237-240. ［8］吴文强.水声通信数据无损压缩方法的对比研究［J］.现代电子技术，2012,35（9）：103-105. ［9］SCHENDEL E R, JIN Y,SHAH N.et al.ISOBAR preconditioner for effective and highthroughput lossless data compression［C］// 2012 IEEE 28th International Conference on Data Engineering.Washington, D.C.,US:IEEE Computer Society, 2012: 138-149. ［10］彭勇.一种改进的LZW编码数据压缩算法的设计与仿真［J］.信息与电脑:理论版，2012（2）:55-56. ［11］蔡明，乔文孝，鞠晓东，等. 一种新的数据无损压缩编码方法［J］.电子与信息学报，2014,36（4）：1008-1012. ［12］李锦明，张文栋，毛海央，等.实时无损数据压缩算法硬件实现的研究［J］.哈尔滨工业大学学报，2006，38（2）:315-317. ［13］侯阳.数据压缩技术及C语言实例［M］.北京：学苑出版社，1994. ［14］陈昌主，陈小松.数据压缩算法研究与设计［J］.电脑与信息技术,2010,18（6）：23-25. ［15］姜滨.基于LZW算法的改进算法［J］.北华大学学报：自然科学版，2010,11（5）：474-476. ［16］NESON M.数据压缩技术原理与范例［M］.北京：科学出版社，1995.

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Application of data compression in the communications system of an oceandata buoy

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