Adaptive Multi-user Detection Based on Robust Particle Filter in CDMA System

Abstract

In this paper, we proposed a robust particle filter algorithm for adaptive multi-user detection (MUD) in synchronous system over fading code division multiple access (CDMA) channels. Particle Filter (PF) is an efficient method for MUD. The Sequential Importance Sampling and Re-sampling (SISR) filter is the representative of PF. AS the importance sampling density of SISR filter is independent of measurement results, the state space is explored without any knowledge of the observations. Therefore, this filter can be inefficient and is sensitive to outliers. Robust PF that we proposed can mitigate the shortcomings in SISR algorithm. Simulation results show that the performance of robust PF-based multi-user detector outperforms SISR-based one. On the condition of strong interference and number of users increasing the robust PF algorithm always produce lower bit-error-ratio (BER).