Parameter estimation of impulsive noise for channel coded communication systems

Autor:	Chun-Yin Chen, Mao-Ching Chiu
Rok vydání:	2020
Předmět:	Noise Computer science Estimation theory Acoustics Telecommunication TK5101-6720 Hardware_ARITHMETICANDLOGICSTRUCTURES Electrical and Electronic Engineering Communications system Computer Science::Information Theory Computer Science Applications Communication channel
Zdroj:	IET Communications, Vol 15, Iss 3, Pp 445-452 (2021)
ISSN:	1751-8636 1751-8628
DOI:	10.1049/cmu2.12077
Popis:	In this paper, an impulsive noise estimation algorithm for generating bit log‐likelihood ratios (LLRs) for channel coded systems in impulsive noise environments is proposed. This approach is to design the LLR detector in the maximum‐likelihood (ML) sense, which requires the parameters of the impulsive noise. The expectation‐maximisation (EM) algorithm is utilised to estimate the parameters of the Bernoulli–Gaussian (B–G) impulsive noise model. The estimated parameters is then used to generate the bit LLRs for the soft‐input channel decoder. Simulation results show that over a wide range of impulsive noise power, the proposed algorithm approaches the optimal performance (with ideal estimation) even under Middleton class‐A (M‐CA) impulsive noise models.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef1ee4b177e8635ce000139c11ba66dc https://doi.org/10.1049/cmu2.12077 Zobrazit plný text záznamu Plný text