摘要
基于SIMO系统互关系模型提出了逆迭代辨识时间色散信道子空间方法,基于一阶扰动理论分析了提出方法的M SE性能.为增强算法稳定性,基于扰动理论和泰勒级数展开给出了一种迭代计算协方差CR矩阵逆的方法.理论分析和实验表明:和现有的自适应信道盲辨识方法相比,本文方法提高了信道估计精度,迭代计算CR矩阵逆的方法简单有效,实验结果和扰动分析得到的理论值有很高的一致性.
An inverse iterative subspace method for SIMO blind identification is proposed based on the cross relations over the time dispersive channel. A first order perturbation analysis is conducted on the proposed estimator. In order to intensify the stability of the proposed estimator, an iterative inverse CR matrix is also presented by using the perturbation theory and Taylor~ expansion up to the first order. Theoretical analysis and experimental results demonstrate that the proposed estimator has a better performance over the existing blindly adaptive algorithms, the method of iterative inverse CR matrix is not only simple but also valid, and there exits a high consistency between the perturbation analysis and the experimental results.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2006年第7期1226-1230,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60372076)
上海市科委重大科技改关项目(No.05DZ15004)
关键词
信道估计
子空间迭代
单输入多输出系统
互关系
扰动分析
channel estimation
subspace iteration
single-input multiple-output systems
cross relations
perturbation analysis
