计算机与现代化

• 算法设计与分析 • 上一篇    下一篇

GPS数据的纯数字化协同压缩算法

  

  1. (湖南大学信息科学与工程学院,湖南长沙410082)
  • 收稿日期:2014-05-06 出版日期:2014-08-15 发布日期:2014-08-19
  • 作者简介:陈耀立(1988-),男,湖南长沙人,湖南大学信息科学与工程学院硕士研究生,研究方向:嵌入式; 金敏(1973-),女,副教 授,博士生导师,研究方向:嵌入式系统及应用,无线通信与远程监控,软件过程与软件项目管理。
  • 基金资助:
    2012年国家重大科技成果转化资助项目(2012550); 2012年度电子信息产业发展基金资助项目(2012407)

Collaborative Compression Algorithms with Pure Digit of GPS Data

  1. (College of Information Science and Engineering, Hunan University, Changsha 410082, China)
  • Received:2014-05-06 Online:2014-08-15 Published:2014-08-19

摘要:

对需实时传输的GPS(Global Position System)定位数据进行数据压缩,降低其数据传输量并最大限度地保留原GPS数据的完整性
。依据GPS定位数据特性对其进行纯数字化无损预处理,引入Golomb-Rice算法并提出算法协同压缩思想。实验表明半字节编码与实时二
进制算术编码协同压缩GPS数据最佳,该协同算法不仅满足GPS数据传输实时性,而且其压缩率在85%以上。本算法减少了GPS数据传输量
,降低了流量成本;能适应多种类型的GPS定位数据压缩;无区域使用局限性,能够在全球任意国家中使用。

关键词: GPS数据, 实时性, 无损压缩, 纯数字化, 协同

Abstract:

To reduce the amount of data transmission and maximizely maintain the integrity of the original data, we
compress the GPS positioning data for real-time transmission. The paper processes the data into a pure numerical
sequence by lossless preprocessing, which is based on the features of GPS positioning data. The paper introduces
Golomb-Rice algorithm and presents a collaborative compression algorithm idea. The experiment shows that the half
byte coding collaborated with real-time binary arithmetic is the best. The collaborative algorithm meets the real
-time transmission of GPS data, and ensures the compression rate at least 85%, decreasing the GPS data
transmission, reducing the traffic cost. It also can adapt to a variety of types of GPS data compression.
Meanwhile, it can be used in any countries around the world without the use limitation.

Key words: GPS data, real-time, lossless compression, pure-digital, collaborative

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