A Fast Blind Impulse Detector for Bernoulli-Gaussian Noise in Underspread Channel
arXiv:1710.06655 · doi:10.1109/ICC.2018.8422345
Abstract
The Bernoulli-Gaussian (BG) model is practical to characterize impulsive noises that widely exist in various communication systems. To estimate the BG model parameters from noise measurements, a precise impulse detection is essential. In this paper, we propose a novel blind impulse detector, which is proven to be fast and accurate for BG noise in underspread communication channels.
v2 to appear in IEEE ICC 2018, Kansas City, MO, USA, May 2018 Minor erratums added in v3