Analysis of scaling soft information on low density parity check code
- 23 January 2003
- journal article
- Published by Institution of Engineering and Technology (IET) in Electronics Letters
- Vol. 39 (2) , 219-221
- https://doi.org/10.1049/el:20030169
Abstract
Density evolution is used to analyse the scaling of soft information in the iterative decoding of low density parity check codes. Based on the min-sum algorithm and Gaussian approximation, the thresholds are evaluated with various scaling factors. The optimal scaling factor is found by density evolution and the expected scaling gain matches well with the achievable scaling gain from simulation results.Keywords
This publication has 4 references indexed in Scilit:
- Extrinsic information in iterative decoding: a unified viewIEEE Transactions on Communications, 2001
- Density evolution for low-density parity-checkcodes under Max-Log-MAP decodingElectronics Letters, 2001
- Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximationIEEE Transactions on Information Theory, 2001
- The capacity of low-density parity-check codes under message-passing decodingIEEE Transactions on Information Theory, 2001