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Proceedings Paper

A resilient and quick data compression method of prediction errors for space missions
Author(s): Jordi Portell; Alberto G. Villafranca; Enrique García-Berro
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Paper Abstract

It has passed more than a decade since the Consultative Committee for Space Data Systems (CCSDS) made its recommendation for lossless data compression. The CCSDS standard is commonly used for scientific missions because it is a general-purpose lossless compression technique with a low computational cost which results in acceptable compression ratios. At the core of this compression algorithm it is the Rice coding method. Its performance rapidly degrades in the presence of noise and outliers, as the Rice coder is conceived for noiseless data following geometric distributions. To overcome this problem we present here a new coder, the so-called Prediction Error Coder (PEC), as well as its fully adaptive version (FAPEC) which we show is a reliable alternative to the CCSDS standard. We show that PEC and FAPEC achieve large compression ratios even when high levels of noise are present in the data. This is done testing our compressors with synthetic and real data, and comparing the compression ratios and processor requirements with those obtained using the CCSDS standard.

Paper Details

Date Published: 31 August 2009
PDF: 11 pages
Proc. SPIE 7455, Satellite Data Compression, Communication, and Processing V, 745505 (31 August 2009); doi: 10.1117/12.829410
Show Author Affiliations
Jordi Portell, Univ. de Barcelona (Spain)
Institut d'Estudis Espacials de Catalunya (Spain)
Alberto G. Villafranca, Univ. Politècnica de Catalunya (Spain)
Institut d'Estudis Espacials de Catalunya (Spain)
Enrique García-Berro, Univ. Politècnica de Catalunya (Spain)
Institut d'Estudis Espacials de Catalunya (Spain)


Published in SPIE Proceedings Vol. 7455:
Satellite Data Compression, Communication, and Processing V
Bormin Huang; Antonio J. Plaza; Raffaele Vitulli, Editor(s)

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