Adaptive Kalman filter based channel estimation for Alamouti space time block coding systems

作者：Gong Shu Ping^*; Wang Jun; Li Shao Qian

来源：Acta Electronica Sinica, 2007, 35(SUPPL.): 41-45.

• Adaptive Kalman filter
• Alamouti
• Channel model
• Channel tracking
• Doppler frequency shift
• Kalman estimator
• Noise variance
• Space time block codes (STBC)
• System equation

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 maximization with sequentially updated prior method to estimate the noise variance of system equation, 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.

• 出版日期2007
• 单位电子科技大学