摘要
针对频率选择性快速时变信道的多径干扰和较大的多普勒频谱扩展,提出了一种改进的Kalman滤波算法,用于正交频分复用(OFDM)系统信道估计.该算法采用复杂度大大降低的低维Kalman滤波来跟踪快速时变信道,迭代联合信道估计与检测算法来获得测量矩阵,并对滤波结果利用一种新的简单的最小均方误差(MMSE)估计器进行优化,有效地降低了传统基于Kalman滤波算法的复杂度.仿真结果表明,该方法能够跟踪信道的快速变化,具有良好的估计性能.
A modified Kalman fiheri plexing (OFDM) systems is propo ng channel estimation algorithm for orthogonal frequency division muhised for a frequency-selective fast time-varying channel. The method can track the time-varying channel by using a low-dimensional Kalman filtering estimator which greatly reduces the complexity of a high-dimensional Kalman filter. The measurement matrix was obtained through iteration of joint channel estimation and the detection algorithm. Furthermore, the result was optimized by using a new simplified minimal mean-squared error (MMSE) estimator. Simulation results show that this method can track the time-varying channel and achieve good performance.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2007年第11期1268-1272,共5页
Journal of Harbin Engineering University
关键词
正交频分复用
信道估计
卡尔曼滤波
最小均方误差
orthogonal frequency division multiplexing
channel estimation
Kalman filter
minimum meansquared error