Info: Zenodo’s user support line is staffed on regular business days between Dec 23 and Jan 5. Response times may be slightly longer than normal.

Published August 4, 2020 | Version v1
Conference paper Open

A Low-Complexity Dual Trellis Decoding Algorithm for High-Rate Convolutional Codes

  • 1. IMT Atlantique

Description

Decoding using the dual trellis is considered as a potential technique to increase the throughput of soft-input soft-output decoders for high coding rate convolutional codes. However, the dual Log-MAP algorithm suffers from a high decoding complexity. More specifically, the source of complexity comes from the soft-output unit, which has to handle a high number of extrinsic values in parallel. In this paper, we present a new low-complexity sub-optimal decoding algorithm using the dual trellis, namely the dual Max-Log-MAP algorithm, suited for high coding rate convolutional codes. A complexity analysis and simulation results are provided to compare the dual Max- Log-MAP and the dual Log-MAP algorithms. Despite a minor loss of about 0.2 dB in performance, the dual Max-Log-MAP algorithm significantly reduces the decoder complexity and makes it a first-choice algorithm for high-throughput high-rate decoding of convolutional and turbo codes.

Files

TB_WCNC2020_DualTrellisDecoding.pdf

Files (374.1 kB)

Name Size Download all
md5:70b4424aebca286d92bb7633959e592b
374.1 kB Preview Download

Additional details

Funding

EPIC – Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding 760150
European Commission