| 基于信号子空间的改进OFDM系统信道半盲估计 |
| |
| 引用本文： | 李琪琪,赵晓晖. 基于信号子空间的改进OFDM系统信道半盲估计[J]. 电路与系统学报, 2008, 13(6) |
| |
| 作者姓名： | 李琪琪 赵晓晖 |
| |
| 作者单位： | 吉林大学,通信工程学院,吉林,长春,130012 |
| |
| 摘 要： | 本文改进了一种基于信号子空间的OFDM系统半盲信道估计算法.该算法利用基于梯度变化的变遗忘因子递归最小二乘算法(GVFF-RLS)计算接收信号的自相关矩阵.通过同时对角化接收信号中的信息信号和噪声信号的全局协方差矩阵,推导出噪声信号子空间,无需对噪声信号的统计特性进行任何先验假定.本算法弥补了原始算法在慢衰落信道下收敛慢以及只限于加性白噪声的不足,实现了色噪声背景下高效半盲信道估计.仿真结果表明本文提出的算法具有良好的性能.
|
| 关 键 词： | 半盲信道估计 色噪声 信号子空间 |
An improved semi-blind channel estimation based on signal subspace in OFDM systems |
| |
| LI Qi-qi,ZHAO Xiao-hui. An improved semi-blind channel estimation based on signal subspace in OFDM systems[J]. Journal of Circuits and Systems, 2008, 13(6) |
| |
| Authors: | LI Qi-qi ZHAO Xiao-hui |
| |
| Affiliation: | LI Qi-qi,ZHAO Xiao-hui(College of Communication Engineering,Jilin University,Changchun 130012,China ) |
| |
| Abstract: | An improved semi-blind channel estimation based on signal subspace in OFDM systems is presented.With gradient based variable forgetting factor RLS algorithm, auto-correlation matrices of received signal are calculated.Through simultaneous diagonalization of the overall covariance matrices of both received signal and noise signal, noise signal subspace is estimated without any a priori assumption on the stochastic property of the noise signal.The proposed method efficiently attains the semi-blind estimation ... |
| |
| Keywords: | GVFF-RLS |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
