一种时变MIMO信道跟踪算法及仿真分析

Simulation and Analysis of a Time-varying MIMO Channel Tracking Algorithm

对时变多发多收(MIMO)无线数字信道,在信道接收端应用逆滤波器算法,得到无线MIMO数字系统的信道冲击响应函数,并将此函数作为初始值,应用改进的粒子滤波器算法,完成时变MIMO数字系统的盲信道跟踪。算法同时利用了信号的时间分集信息和空间分集信息。计算机仿真表明,与仅利用信号空间分集信息的逆滤波器算法相比,算法在输入信号小信噪比情况下有更好的全局收敛特性;与卡尔曼滤波算法相比,得到的归一化信道误差更小。

For a time -varying MIMO wireless digital channel, an inverse filter algorithm is used at channel receiving end to get the channel pulse response function. Taking the function as initial value, a particle filter algorithm is utilized to accomplish the MIMO channel tracking. The proposed algorithm uses simultaneously the signal time diversity information as well as the signal space diversity information. Computer simulations illustrate that the proposed algorithm can achieve less channel error compared with using Kalman algorithm, and, it can get better convergence performance than using inverse filter algorithm under low SNR.