Robust multiuser detection in impulsive channels based on M-estimation using a new penalty function

TL;DR

This paper introduces a new robust multiuser detection method for impulsive, non-Gaussian channels using a novel penalty function, demonstrating superior performance over existing detectors through analysis and simulations.

Contribution

The paper proposes a novel penalty function for robust multiuser detection in impulsive channels, enhancing detection performance in non-Gaussian environments.

Findings

Proposed detector outperforms existing suboptimal detectors in non-Gaussian channels.

Analytical and simulation results confirm improved detection accuracy.

The new method is robust against impulsive noise effects.

Abstract

In this paper, we consider the problem of multiuser detection in non-Gaussian channels. We propose a new penalty function for robust multiuser detection. The proposed detector outperforms other suboptimal detectors in non-Gaussian environment. Analytical and simulation result shows the performance of the proposed detector compare to other detectors.