基于差分空时分组码的卡尔曼盲多用户检测

对大容量、高性能蜂窝通信系统的需求引起了人们对先进信号处理技术的极大兴趣，尤其是使用多个发射／接收天线，利用空域分集的处理技术更是受到了广泛关注。使用多个发射天线及差分空时分组码，可用一种新的适用于频率平坦信道的盲自适应多用户接收机。新方法不需要信道估计，它首先利用卡尔曼(Kalman)自适应滤波器抑制多址干扰，然后完成差分空时解码获得分集增益。计算机仿真结果表明该方法具有较强的抗衰落和抑制多址干扰的能力，并能自适应地跟踪信号环境的变化。

Kalman blind multiuser detection based on differential space-time block coding

The demand for performance and capacity in cellular systems has generated a great deal of interest in the development of advanced signal processing techniques. In particular, much recent work has been done on space time processing in which multiple transmit/receive antennas are used in conjunction with coding to exploit spatial diversity. By using multiple transmit antennal and differential space time block coding, this paper presents a new blind multiuser adaptive receiver which is suitable for frequency flat and static channel for CDMA systems. Without channel estimation, Kalman filter is firstly employed to restrain multiple access interference, and then the diversity gain is achieved by differential space time block decoding at the receiver. It is shown from the simulation results that the proposed method has the capability of resisting fade and suppressing multiple access interference and can adaptive track the change of signal environment.