Novel blind identification of LDPC codes using average LLR of syndrome a posteriori probability
Document Type
Article
Publication Date
2-1-2014
Abstract
Blind signal processing methods have been very popular recently since they can play crucial roles in the prevalent cognitive radio research. Blind encoder identification has drawn research interest lately. In this paper, we would like to tackle the blind identification of binary low-density parity-check (LDPC) codes for binary phase-shift keying (BPSK) signals. We propose a novel blind identification system which consists of three components, namely expectation-maximization (EM) estimator for signal amplitude and noise variance, log-likelihood ratio (LLR) estimator for syndrome a posteriori probabilities, and maximum average LLR detector. Monte Carlo simulation results demonstrate that our proposed blind LDPC encoder identification scheme is very promising even for low signal-to-noise ratio conditions. © 1991-2012 IEEE.
Publication Source (Journal or Book title)
IEEE Transactions on Signal Processing
First Page
632
Last Page
640
Recommended Citation
Xia, T., & Wu, H. (2014). Novel blind identification of LDPC codes using average LLR of syndrome a posteriori probability. IEEE Transactions on Signal Processing, 62 (3), 632-640. https://doi.org/10.1109/TSP.2013.2293975