一种基于噪声子空间的半盲信道辨识算法  

Semi-blind Channel Identification Algorithm Based on Noise Subspace

作　　者：郭士旭[1] 蒋建中[1] 刘世刚[1] 

机构地区：[1]解放军信息工程大学信息工程学院,郑州450002

出　　处：《计算机工程》2012年第15期93-96,共4页Computer Engineering

基　　金：国家"863"计划基金资助项目"超宽带无线通信系统研发与应用示范"(2009AA011205)

摘　　要：传统确定性半盲算法在最优权值选择上效率较低。为此,提出一种基于噪声子空间的半盲方法。利用噪声子空间与信号子空间的正交关系,构建信道响应与噪声矢量间的约束,根据参考符号与对应接收信号间的卷积关系建立额外的约束,由最小二乘方法求解信道冲激响应。仿真实验验证了该算法的有效性及参考符号个数下限的正确性。The traditional deterministic semi-blind algorithm has low efficiency when finding the weighting parameter. This paper focuses on the deterministic semi-blind methods, and proposes a new semi-blind method based on noise subspace. Based on the classical subspace decomposition, an orthogonality property between the signal subspace and the noise subspace is exploited to build a linear system of equations; then, additional equations are derived by the referenced symbols; at last, the estimated channel is derived by least-square method. Simulation examples demonstrate the performance of the algorithm.

关 键 词：半盲信道辨识 单输入多输出 二阶统计 噪声子空间 参考符号 迫零均衡器 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]