Computer Science – Information Theory
Scientific paper
2011-03-14
Computer Science
Information Theory
submitted to IEEE Trans. Commun
Scientific paper
A new approach for the approximation of the channel log-likelihood ratio (LLR) for wireless channels based on Taylor series is proposed. The approximation is applied to the uncorrelated flat Rayleigh fading channel with unknown channel state information at the receiver. It is shown that the proposed approximation greatly simplifies the calculation of channel LLRs, and yet provides results almost identical to those based on the exact calculation of channel LLRs. The results are obtained in the context of bit-interleaved coded modulation (BICM) schemes with low-density parity-check (LDPC) codes, and include threshold calculations and error rate performance of finite-length codes. Compared to the existing approximations, the proposed method is either significantly less complex, or considerably more accurate.
Ahmadian-Attari Mahmoud
Asvadi Reza
Banihashemi Amir H.
Saeedi Hamid
No associations
LandOfFree
LLR Approximation for Wireless Channels Based on Taylor Series and Its Application to BICM with LDPC Codes does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with LLR Approximation for Wireless Channels Based on Taylor Series and Its Application to BICM with LDPC Codes, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and LLR Approximation for Wireless Channels Based on Taylor Series and Its Application to BICM with LDPC Codes will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-259131