A Fast Blind Impulse Detector for Bernoulli-Gaussian Noise in Underspread Channel

TL;DR

This paper introduces a rapid and precise blind impulse detection method tailored for Bernoulli-Gaussian noise in underspread communication channels, enhancing noise characterization in communication systems.

Contribution

A novel blind impulse detector specifically designed for Bernoulli-Gaussian noise in underspread channels, improving detection speed and accuracy.

Findings

Detector is fast and accurate

Effective for Bernoulli-Gaussian noise

Applicable to underspread channels

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.