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Blind identification of binary LDPC codes for M-QAM signals | IEEE Conference Publication | IEEE Xplore

Blind identification of binary LDPC codes for M-QAM signals


Abstract:

In this paper, we propose a blind binary low-density parity-check (LDPC) encoder identification scheme for M-quadrature amplitude modulation (M-QAM) signals. The expectat...Show More

Abstract:

In this paper, we propose a blind binary low-density parity-check (LDPC) encoder identification scheme for M-quadrature amplitude modulation (M-QAM) signals. The expectation-maximization (EM) algorithm is developed to estimate the unknown signal amplitude, noise variance, and phase offset for M-QAM signals. The a posteriori probabilities (APPs) of the coded bits are obtained from the APPs of the transmitted symbols according to the M-QAM mapper. Monte Carlo simulation results demonstrate the effectiveness of our proposed new blind binary LDPC encoder identification scheme for different modulation orders. The average iteration number needed for the EM algorithm to converge is also investigated for different modulation orders.
Date of Conference: 08-12 December 2014
Date Added to IEEE Xplore: 12 February 2015
Electronic ISBN:978-1-4799-3512-3
Print ISSN: 1930-529X
Conference Location: Austin, TX, USA

References

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