Blind Space-Time Detector Based on Kalman Filtering
Zemin Liu · Microelectronics & Computer · 2007
In this paper, A blind space-time detector based on Kalman filtering is proposed. Kalman filter is a linear minimum variance state estimator, and it combined array antenna and multiuser detection effectively. The adaptive detector does not require training data sequences. In multipath fading channels, simulation results show that the detector can converge faster than the space-time detector based on LMS algorithms. The detector can achieve better effectiveness of suppressing multipath interference and multiple-access interference.