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LLR Approximation for Wireless Channels Based on Taylor Series and its Application to BICM With LDPC Codes

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4 Author(s)
Reza Asvadi ; Department of Electrical and Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran ; Amir H. Banihashemi ; Mahmoud Ahmadian-Attari ; Hamid Saeedi

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 uncorrelated flat fading channels 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.

Published in:

IEEE Transactions on Communications  (Volume:60 ,  Issue: 5 )