A Blind Adaptive Kalman-SIC MUD Algorithm of the Wireless Multiple Access Mobile Communication System

Abstract

The multi-user detection precision of successive interference cancellation (SIC) detector is always affected by the decision error diffusion. This paper focuses on the SIC algorithm of direct sequence spread spectrum code division multiple access (DS-CDMA) system with strong multiple access interference (MAI) and inter symbol interference (ISI). A blind adaptive Kalman-SIC multi-user detection (MUD) algorithm is proposed in this paper. This algorithm can totally track the time-varying channel, minimize the detection error diffusion, and thus effectively suppress MAI and ISI. Simulation results show that the blind adaptive Kalman-SIC algorithm is of better tracking ability, convergence and detection precision.  Index Terms—Successive interference cancellation, Kalman, DS-CDMA, multiple access interference.