基于子空间法的盲信道和半盲信道估计方法  

Blind and Semi-Blind Channel Estimation Based on Subspace

作　　者：于蕾[1] 杨莘元[1] 

机构地区：[1]哈尔滨工程大学信息与通信工程学院,哈尔滨150001

出　　处：《北京邮电大学学报》2008年第3期29-32,37,共5页Journal of Beijing University of Posts and Telecommunications

基　　金：国家自然科学基金项目(60602007)

摘　　要：为了降低算法的复杂度,提出采用降秩正交迭代方法估计噪声子空间.利用色噪声预白化技术对过采样后的自相关矩阵进行变换,再用降秩迭代计算噪声子空间.在应用预白化技术时,提出一种利用训练序列估计色噪声协方差矩阵的方法,能明显地克服盲信道估计收敛速度慢的缺点.仿真结果证明,系统的信道冲激响应可以被良好地跟踪.A new channel estimation based on subspace in two multiple input multiple output-orthogonal frequency division multiplexing（MIMO-OFDM） systems is discussed. The proposed method estimates noise subspace with reduced-rank orthogonal iteration for low computational complexity. The over-sampled autocorrelation matrix is transformed by colored noise whitening. A new method to estimate colored noise covariance matrix with training sequences is developed for improving the convergence rate of channel estimation. Simulation results illustrate that the proposed method can get good performance.

关 键 词：多输入多输出 正交频分复用系统 信道估计 半盲算法 

分 类 号：TN911.7[电子电信—通信与信息系统]