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Semi-Blind Channel Estimation and Multi-User Data Detection for Downlink MC-CDMA
2010
International Journal of Communication Networks and Information Security
This paper proposes a unique low complexity semi-blind channel estimation and data detection receiver for downlink MC-CDMA systems. In this iterative scheme, the CSI is predicted through short range wireless channel prediction algorithm initially. With the predicted CSI, the novel data detection based on PIC is employed to achieve the data decision results. The refined CSI is acquired from the decision feedback simultaneously. This process repeats multiple times until the CSI converges. With
dblp:journals/ijcnis/LuCA10
fatcat:ecctxp5yqjfbfniffwghmttmyq