摘要
提出了一种SIMO信道的盲辨识方法.SIMO系统的多个信道输出可重新组合为具有循环平稳特性的输出序列,该输出序列的自相关矩阵可分解为信号子空间和噪声子空间,利用信号子空间与噪声子空间正交的特必可分别求解出各信道的模型参数.与传统高阶矩方法相比,该算法运算复杂度低,具有更快的辨识速度,更适合高速数据传输信道的辨识.仿真结果说明此算法具有较高的辨识精度.
A new blind identification method for single-input multi-output(SIMO) multi-channel systems is proposed. The outputs of each channel are reconstructed to a new output sequence, which has a cyclostaionarity property. Based on subspace decomposition the parameters of different channels should be estimated separately. Compared with high order statistics approaches this method has less complication and is more suitable for high speed communication channel identifycation. Simulation result shows that it has a high estimate accuracy.
出处
《西安电子科技大学学报》
EI
CAS
CSCD
北大核心
2005年第2期318-322,共5页
Journal of Xidian University
基金
国家自然科学基金资助项目(60074030)
高等学校博士学科点专项基金资助项目(20010698001)
关键词
多信道
盲辨识
循环平稳
multi-channel
blind identification
cyclostaionarity
