A low-complexity UEP methodology demonstrated on a turbo-encoded wavelet image satellite downlink

  • Authors:

  • Eric Salemi;Claude Desset;Antoine Dejonghe;Jan Cornelis;Peter Schelkens

  • Affiliations:

  • Interuniversity Microelectronics Center, Leuven, Belgium and Vrije Universiteit Brusse, Faculty of Applied Science, Department ETRO, Brussel, Belgium and Interdisciplinary Institute for BroadBand ...;Interuniversity Microelectronics Center, Leuven, Belgium and Interdisciplinary Institute for BroadBand Technology, Gent, Belgium;Interuniversity Microelectronics Center, Leuven, Belgium and Interdisciplinary Institute for BroadBand Technology, Gent, Belgium;Interuniversity Microelectronics Center, Leuven, Belgium and Vrije Universiteit Brusse, Faculty of Applied Science, Department ETRO, Brussel, Belgium and Interdisciplinary Institute for BroadBand ...;Interuniversity Microelectronics Center, Leuven, Belgium and Vrije Universiteit Brusse, Faculty of Applied Science, Department ETRO, Brussel, Belgium and Interdisciplinary Institute for BroadBand ...

  • Venue:
  • EURASIP Journal on Wireless Communications and Networking - Multimedia over Wireless Networks
  • Year:
  • 2008

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Abstract

Realizing high-quality digital image transmission via a satellite link, while optimizing resource distribution and minimizing battery consumption, is a challenging task. This paper describes a methodology to optimize a turbo-encoded wavelet-based satellite down-link progressive image transmission system with unequal error protection (UEP) techniques. To achieve that goal, we instantiate a generic UEP methodology onto the system, and demonstrate that the proposed solution has little impact on the average performance, while greatly reducing the run-time complexity. Based on a simple design-time distortion model and a low-complexity run-time algorithm, the provided solution can dynamically tune the system's configuration to any bitrate constraint or channel condition. The resulting system outperforms in terms of peak signal-to-noise ratio (PSNR), a state-of-the-art, fine-tuned equal error protection (EEP) solution by as much as 2 dB.