基于Kalman滤波的盲自适应多用户检测

Multiuser detection of blind self-adaptation based on the Kalman filter

研究了基于Kalman滤波的盲自适应多用户检测算法,将Kalman滤波算法扩展到盲自适应多用户检测,理论和仿真结果表明:该算法是线性最小方差算法;在无需训练序列的情况下,可实现对多址干扰的有效抑制,具有良好的收敛性和跟踪性能.

This paper uses the Kalman filter for multiuser detection.The result of theory and imitation show that this algorithm is a liner least square multiuser detection.On condition of no training sequences,this algorithm realizes effective restraint of the multiple access interface,and has the good astringency and trace ability.