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

Provided by: Journal of Communications
Topic: Mobility
Format: PDF
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.

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