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

摘要

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