Abstract
Storing vast amounts of multidimensional telemetry data presents a challenge. Telemetry data being relayed from sensors to the ground station comes in the form of text, images, audio, and various other formats. Compressing this data would optimize bandwidth usage during transmission and reduce storage resources needed at the ground level. The application of a single compression technique for all data types usually yields ineffective results. We will present a telemetry data compression algorithm that utilizes Discrete Fourier Transforms (DFTs) along with different compression algorithms for different data types, including Lempel-Ziv-Welch (LZW) and Flate for textual and numerical data and JPEG coding for images. Although these algorithms do not yield the greatest compression ratios, the Portable Document Format (PDF) standard supports decoding of all of them, which allows us to write our encoded data streams directly to a PDF file. This approach alleviates the need for traditional database storage systems. It also standardizes and simplifies the data retrieval, decoding, and viewing process. This work results in packets-oriented telemetry data encapsulated with multiple compression stream algorithms, which can be decoded, rendered and viewed by any standard PDF viewer. This paper presents the aforementioned algorithms and its development status as applicable proof-of-concept prototypes.
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References
Sayood, K.: Lossless Compression Handbook. Elsevier Science, San Diego (2003)
Horan, S.: Introduction to PCM Telemetering Systems, 2nd edn. CRC Press, Boca Raton (2002)
Gray, R.M.: Fundamentals of Data Compression. In: International Conference on Information, Communications, and Signal Processing, Singapore, September 1997, IEEE Publication, New York (1997)
Rao, K.R., Yip, P.C.: The Transform and Data Compression Handbook. CRC Press, Boca Raton (2001)
Reference, P.D.F.: Adobe Portable Document Format Version 1.7, 6th edn., Adobe Systems Incorporated (2006)
Staudinger, P., et al.: Lossless Compression for archiving satellite telemetry data, In: Aerospace Conference Proceedings, March 2000, vol. 2, pp. 299–304. IEEE, Los Alamitos (2000)
CGPDFContentStream Reference, Apple, http://developer.apple.com/documentation/GraphicsImaging/Reference/CGPDFContentStream/Reference/reference.html
Lossless Data Compression, Report Concerning Space Data Systems Standards, CCSDS 120.0-G-2. Green Book. Issue 2, CCSDS, Washington, D.C. (December 2006)
Space Packet Protocol, Recommendation for Space Data Systems Standards, CCSDS 133.0-B-1. Blue Book. Issue 1, CCSDS, Washington, D.C. (September 2003)
Gailly, J.-l., Adler, M.: The gzip home page, 27 July, How to compress your PDF files? Compression arithmetic for PDF files, VeryPDF.com, Inc. (2003)
Exchangeable image file format for digital still cameras: Exif Version 2.2, Standard of Japan Electronics and Information Technology Industries Association (April 2002)
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© 2008 Springer-Verlag Berlin Heidelberg
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Maluf, D., Hsu, Cj., Tran, P., Tran, D. (2008). Effective Document-Oriented Telemetry Data Compression. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds) Foundations of Intelligent Systems. ISMIS 2008. Lecture Notes in Computer Science(), vol 4994. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68123-6_59
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DOI: https://doi.org/10.1007/978-3-540-68123-6_59
Publisher Name: Springer, Berlin, Heidelberg
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