Skip to Main content Skip to Navigation
Conference papers

Revisiting augmented decoding techniques for LTE Turbo Codes

Abstract : This paper revisits several methods used in iterative decoders to improve the performance of the LTE Turbo code for small information blocks. By considering the iterative decoder as a chaotic system, some explanations are given on the unexpected behavior of several post-processing algorithms. A "dither-inspired" algorithm, called blind candidate decoding, is proposed. This algorithm improves error correction by performing several decoding attempts from a set of perturbed input. Combined with the use of the CRC as an outer code, a performance improvement of up to 1 dB in signal to noise ratio can be obtained for a frame error rate of 10 −3. Moreover, a stopping criterion based on the Euclidean distance between the output and the input is proposed to mitigate the critical problem of undetected errors.
Complete list of metadata
Contributor : Charbel Abdel Nour <>
Submitted on : Wednesday, July 7, 2021 - 3:11:40 PM
Last modification on : Thursday, July 29, 2021 - 10:52:30 AM


Files produced by the author(s)


  • HAL Id : hal-03280680, version 1


Titouan Gendron, Emmanuel Boutillon, Charbel Abdel Nour, David Gnaedig. Revisiting augmented decoding techniques for LTE Turbo Codes. ISTC 2021: 11th IEEE International Symposium on Topics in Coding, Aug 2021, Montreal, Canada. ⟨hal-03280680⟩



Record views


Files downloads