A Blind Adaptive Kalman-PIC MUD Algorithm for the Multiple Access Communication Network

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Provided by: Academy Publisher
Topic: Software
Format: PDF
In wireless communication network field, the multiple access systems as Code Division Multiple Access (CDMA), Frequency Division Multiple Access (FDMA) and Time Division Multiple Access (TDMA), have been widely studied and applied. In the parallel signal processing, the multi-user detection precision of Parallel Interference Cancellation (PIC) detector is always easily affected by the decision error diffusion. Based on the fast convergence and low complexity of blind adaptive Kalman algorithm, a new blind adaptive Kalman-PIC (KPIC) Multi-User Detection (MUD) algorithm is proposed for the Direct Sequence spread spectrum Code Division Multiple Access (DS-CDMA) system network with strong Multiple Access Interference (MAI).
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