Adaptive Kalman Filter Based Channel Estimation for Alamouti Space Time Block Coding Systems

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ACTA ELECTRONICA SINICA ›› 2007, Vol. 35 ›› Issue (6A) : 41-45.

GONG Shu-ping, WANG Jun, LI Shao-qian

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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 channel 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 maximiztion with sequentially updated prior method to estimate the noise variance of system equation, the estimation of maximum Doppler &rquency 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.

Key words

space-time block codes / adaptive Kalman filter / channel model / channel tracking

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GONG Shu-ping, WANG Jun, LI Shao-qian. Adaptive Kalman Filter Based Channel Estimation for Alamouti Space Time Block Coding Systems[J]. Acta Electronica Sinica, 2007, 35(6A): 41-45.

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