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- W2348429660 abstract "In this paper,a novel joint data detection and channel estimation scheme is proposed for Alamouti space-time block coding(STBC)systems.By taking the time-varying characteristic of the channel statistics into account,a new dynamic chan- nel model is adopted in this scheme.According to this model,a channel estimator based on adaptive Kalman filter is also proposed. By applying the sequential evidence maximization with sequentially updated prior method to estimate the noise variance of system e- quation,the estimation of maximum Doppler frequency shift is not required in this proposed scheme.The proposed estimator has lower complexity than that of conventional Kalman estimator.Meanwhile,simulation results show that the proposed estimator has better performance than conventional Kalman estimator.Furthermore,this proposed scheme is robust to different maximum Doppler frequency shift." @default.
- W2348429660 created "2016-06-24" @default.
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- W2348429660 date "2007-01-01" @default.
- W2348429660 modified "2023-09-23" @default.
- W2348429660 title "Adaptive Kalman Filter Based Channel Estimation for Alamouti Space Time Block Coding Systems" @default.
- W2348429660 hasPublicationYear "2007" @default.
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