A new Multiuser Detection Algorithm Based on Robust Kalman Filtering

Abstract Inspired from H ∞ robust control technique, this research applies H ∞ filtering to Multi-user Detection (MUD), and proposes a new MUD algorithm based on robust Kalman filtering. Because it can rapidly converge when the statistical property of interferences or noises are unknown, this algorithm has better performance than existing blind adapting MUD based Kalman filtering.