By Topic

Iterative Source–Channel Decoding With Reduced Error Floors

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Laurent Schmalen ; Alcatel-Lucent Bell Labs, Stuttgart, Germany ; Peter Vary

Audio-visual source encoders for digital mobile communications extract parameters that-due to delay and complexity constraints-exhibit some residual redundancy. This residual redundancy can be exploited by iterative source-channel decoding (ISCD) to improve the robustness against transmission noise by performing soft parameter detection as part of the decoding process. Systems employing ISCD at the receiving end often exhibit an observable error floor. While this error floor can be tolerated in some cases, it is often desirable to perfectly reconstruct the source codec parameters. In this paper, we explain the reasons for the error floor and propose two solutions for realizing ISCD systems with optimized error floor performance while maintaining the desired near-capacity waterfall behavior. All approaches aim at optimizing the distance properties of the (redundant) mapping of bit patterns to the source codec parameters. In some cases, especially if small quantizer code books are employed, good mappings cannot be found-in this case, the novel multi-dimensional bit mapping allows to reduce the error floor after decoding.

Published in:

IEEE Journal of Selected Topics in Signal Processing  (Volume:5 ,  Issue: 8 )