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Proceedings Article

Optimizing GPS data transmission using entropy coding compression

[+] Author Affiliations
Alberto G. Villafranca, Iu Mora, Patrícia Ruiz-Rodríguez, Enrique García-Berro

Univ. Politècnica de Catalunya (Spain) and Institut d'Estudis Espacials de Catalunya (Spain)

Jordi Portell

Univ. de Barcelona (Spain) and Institut d'Estudis Espacials de Catalunya (Spain)

Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 781015 (August 24, 2010); doi:10.1117/12.860848
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From Conference Volume 7810

  • Satellite Data Compression, Communications, and Processing VI
  • Bormin Huang; Antonio J. Plaza; Joan Serra-Sagristà; Chulhee Lee; Yunsong Li; Shen-En Qian
  • San Diego, California, United States | August 01, 2010

abstract

The Global Positioning System (GPS) has long been used as a scientific tool, and it has turned into a very powerful technique in domains like geophysics, where it is commonly used to study the dynamics of a large variety of systems, like glaciers, tectonic plates and others. In these cases, the large distances between receivers as well as their remote locations usually pose a challenge for data transmission. The standard format for scientific applications is a compressed RINEX file - a raw data format which allows post-processing. Its associated compression algorithm is based on a pre-processing stage followed by a commercial data compressor. In this paper we present a new compression method which can achieve better compression ratios with a faster operation. We have improved the pre-compression stage, split the resulting file into two, and applied the most appropriate compressor to each file. FAPEC, a highly resilient entropy coder, is applied to the observables file. The results obtained so far demonstrate that it is possible to obtain average compression gains of about 35% with respect to the original compressor.

© (2010) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Alberto G. Villafranca ; Iu Mora ; Patrícia Ruiz-Rodríguez ; Jordi Portell and Enrique García-Berro
"Optimizing GPS data transmission using entropy coding compression", Proc. SPIE 7810, Satellite Data Compression, Communications, and Processing VI, 781015 (August 24, 2010); doi:10.1117/12.860848; http://dx.doi.org/10.1117/12.860848


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