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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/10357

Title: Fuzzy adaptive parallel interference cancellation and vector channel prediction for CDMA in fading channels
Authors: Tseng, Shu-Ming;Zheng, Yibin;Hsu, Yao-Teng;Chang, Meng-chou
Contributors: 電子工程學系
Date: 2002-04
Issue Date: 2012-05-22T06:46:09Z
Publisher: IEEE
Abstract: We propose a fuzzy PIC multiuser detection/vector
channel prediction scheme in Rayleigh fading channels. The
vector channel prediction is based on first-order
auto-regressive model and expectation-maximization
algorithm. The signal-to-interference ratio and signal-to-noise
ratio are estimated from vector channel model�s parameters,
and we adapt the weight of each interference cancellation
path via fuzzy inference mechanism. The proposed fuzzy PIC
and vector channel prediction cooperate in a way that fuzzy
PIC� some input parameters come from channel predictor
and fuzzy PIC makes the channel predictor be more accurate
at the next stage. Computing weights via fuzzy adaptive
method adds insignificant complexity because it involves only
table lookup. The overall complexity is still linear in the
number of users. The simulation results show that the
proposed fuzzy PIC/vector channel prediction scheme
performs better than previous improved PIC schemes in
Rayleigh fading channels.
Relation: IEEE International Conference on Communications (ICC ), 2002年4月28-5月2日, Vol. 1: 252-256
Appears in Collections:[eedept] Proceedings

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