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Parameters Estimation of Impulse Noise for Channel Coded Systems over Fading Channels

Chun-Yin CHEN, Mao-Ching CHIU

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Summary :

In this paper, we propose a robust parameters estimation algorithm for channel coded systems based on the low-density parity-check (LDPC) code over fading channels with impulse noise. The estimated parameters are then used to generate bit log-likelihood ratios (LLRs) for a soft-inputLDPC decoder. The expectation-maximization (EM) algorithm is used to estimate the parameters, including the channel gain and the parameters of the Bernoulli-Gaussian (B-G) impulse noise model. The parameters can be estimated accurately and the average number of iterations of the proposed algorithm is acceptable. Simulation results show that over a wide range of impulse noise power, the proposed algorithm approaches the optimal performance under different Rician channel factors and even under Middleton class-A (M-CA) impulse noise models.

Publication
IEICE TRANSACTIONS on Communications Vol.E104-B No.7 pp.903-912
Publication Date
2021/07/01
Publicized
2021/01/18
Online ISSN
1745-1345
DOI
10.1587/transcom.2020EBP3132
Type of Manuscript
PAPER
Category
Wireless Communication Technologies

Authors

Chun-Yin CHEN
  National Chung Cheng University
Mao-Ching CHIU
  National Chung Cheng University

Keyword