Open AccessRobust multipath channel estimation in the presence of impulsive noise
Author(s) -
Yan Kun,
Zhang Huawei,
Wu HsiaoChun
Publication year - 2018
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2017.0374
Subject(s) - computer science , additive white gaussian noise , estimator , gaussian noise , multipath propagation , noise (video) , estimation theory , channel (broadcasting) , noise power , algorithm , transmission (telecommunications) , impulse noise , control theory (sociology) , electronic engineering , telecommunications , statistics , mathematics , power (physics) , artificial intelligence , engineering , physics , image (mathematics) , pixel , control (management) , quantum mechanics
Power‐line communications (PLCs) endure a severe transmission channel distortion due to Gaussian noise, impulsive noise, and multipath self‐interference. Conventional transmission models with white Gaussian noise would be very inappropriate and impair the necessary channel estimation drastically to the PLC receivers. In this study, a statistical model for impulsive noise, namely Middleton Class A model, is employed for Gaussian information sources. Robust channel estimation algorithms based on a novel parameter estimation scheme are established thereby. Superior to the conventional robust‐least‐square estimation algorithms, the authors' proposed new adaptive robust‐least‐square estimation methods can take advantage of the statistical parameter estimation for impulsive noise. The studies on the theoretical and practical aspects of their proposed new parameter estimator are also presented.