Reduced Complexity Iterative Decoding for Concatenated Coding
Paper in proceedings, 2003

A new algorithm to reduce the computational complexity of iterative decoding is presented. The algorithm reduces the complexity by removing certain branches from the corresponding trellis diagram. A threshold on a priori values is used as the elimination criterion. To assess the performance, numerical results for serially concatenated convolutional codes transmitted over an additive white gaussian noise channel is presented. The results show that for the system considered, the algorithm can reduce the complexity by one third with a negligible degradation in error performance.

Author

Dhammika Bokolamulla

Chalmers, Department of Computer Engineering, Telecommunication Theory

Tor Aulin

Chalmers, Department of Computer Engineering, Telecommunication Theory

IEEE International Conference on Communication

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering

More information

Created

10/6/2017