首页|Blind Adaptive Multiuser Detection Based on FIAPI Algorithm
Blind Adaptive Multiuser Detection Based on FIAPI Algorithm
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Multiuser detection technology is currently one of the effective ways to suppress multiple access interference and near-far effects.Firstly,through selecting a simple compensation matrix,fast improved approximation power iteration (FIAPI) subspace tracking optimization algorithm is proposed.Secondly,for the disadvantage of high computational complexity of Kalman filtering algorithm,Kalman for blind adaptive multiuser detector based on FIAPI subspace tracking algorithm is designed.The simulation experiments show that the convergence and anti-interference ability of the blind adaptive multiuser detector based on FIAPI algorithm is greatly improved,and the average signal-to-interference ratio of the FAPI algorithm is improved by about 0.7 dB,which is higher than the average signal-to-interference ratio of the orthogonal projection approximation subspace tracking (OPAST) algorithm 2 dB or so.
fast improved approximate power iteration (FIAPI)Kalman filteringmultiuser detectionsubspace tracking
XIAO Wenshuai、RU Guobao、GAN Liangcai
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School of Electronic Information, Wuhan University, Wuhan 430072, Hubei, China
Supported by the National Natural Science Foundation of China
NETL
NSTL
万方数据
维普
