• DocumentCode
    624523
  • Title

    Developing and evaluating a lossless compression scheme for scientific data from a nanosatellite

  • Author

    Clark, Spencer ; Makaroff, Dwight ; Stanley, Kevin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Saskatchewan, Saskatoon, SK, Canada
  • fYear
    2013
  • fDate
    5-8 May 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper examines the problem of of developing a lossless compression scheme for data from a nano-satellite being developed by the University of Saskatchewan Space Design team, the USST-Sat. The benefit of compressing scientific data from the satellite will be an increased ability to perform experiments and downlink the results. Goals for the compression scheme are to maximize space savings and result in a net energy savings over storing and transmitting uncompressed data. Our evaluations show that the custom scheme that we developed, called USST-Compress, performs compression as well as or better than the generic compression schemes evaluated, and additionally results in better net energy savings.
  • Keywords
    aerospace computing; artificial satellites; data compression; USST-Compress; USST-Sat; University of Saskatchewan space design team; lossless compression scheme; nanosatellite; net energy savings; scientific data; space savings; uncompressed data; Compression algorithms; Huffman coding; Noise; Payloads; Satellites; Compression algorithms; Computer science; Data compression; Low earth orbit satellites;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering (CCECE), 2013 26th Annual IEEE Canadian Conference on
  • Conference_Location
    Regina, SK
  • ISSN
    0840-7789
  • Print_ISBN
    978-1-4799-0031-2
  • Electronic_ISBN
    0840-7789
  • Type

    conf

  • DOI
    10.1109/CCECE.2013.6567819
  • Filename
    6567819