研究一种基于改进子空间跟踪的盲自适应多用户检测算法,提出一种盲自适应Kalman检测器.同时,针对CDMA系统信号子空间维数的变化,提出一种IPASTd子空间跟踪算法,实现在高信噪比和强远近效应情况下稳定的跟踪性能.把IPAsTd与Kalman滤波器结合组成新的自适应检测器.仿真结果表明,该检测器可以迅速地跟踪维数变化了的信号子空间,从而提高检测器的性能,实现稳定的跟踪并使输出具有良好的信干比.
Blind adaptive Kalman multi-user detection algorithm had been studied based on the improved subspace tracking in this paper, and a blind adaptive Kalman detector was proposed. According to the changes of the signal subspaee dimension, the Pastd algorithm was also improved as IPASTd, which achieved more steady tracking performance on high SNR and strong "near far" effect. The IPASTd was also incorporated with the Kalman filter to form a new adaptive detector. Simulated results showed that it could achieve better tracking SINR performance while the channel chanted suddenly.