相关衰落多输入多输出系统的参数化信道估计  

Parametrical Channel Estimation for Flat-Fading Correlated Multiple Input Multiple Output Systems

作　　者：罗铭[1] 殷勤业[1] 冯昂[1] 邓科[1] 

机构地区：[1]西安交通大学电子与信息工程学院,西安710049

出　　处：《西安交通大学学报》2007年第12期1431-1435,共5页Journal of Xi'an Jiaotong University

基　　金：国家自然科学基金资助项目(60572046;60502022);国家高科技研究发展计划资助项目(2006AA01Z220)

摘　　要：针对多输入多输出(MIMO)系统中信道空域相关影响信道估计性能的问题,提出了一种基于多径参数估计的信道估计方法.该方法适用于多径稀疏信道环境下的双端部署均匀线性阵列的MIMO系统,通过构建信道的多径参数化模型,用多径的径参数描述信道矩阵和信道空域相关,将信道估计问题转化为多径参数的估计,并采用波达矩阵算法估计出多径参数以完成信道估计.由于利用了信道的多径结构,在不需预知信道空域相关的情况下,能够获得比Least-Square方法更好的信道估计性能.仿真实验表明,与Least-Square方法相比,当信道估计均方误差达到10-1时,该方法在4×4和6×6的MIMO系统中分别能够获得2.5 dB和5 dB的信噪比增益.Focusing on the problem that the performance of channel estimation is influenced by spatial correlation in multiple input multiple output （MIMO） systems, a parametrical channel estimation method based on estimating multipath parameters is proposed. The proposed method can be applied to flat-fading correlated MIMO systems which employing uniform linear arrays on dual-side in sparse multipath environment. By modeling channel matrix and spatial correlation of MIMO systems with multipath parameters, channel estimation problem is converted to multipath parameters estimation, then, multipath parameters are estimated by direction of arrival-matrix algorithm. The proposed method can achieve better performance than least-square method without any prior knowledge of spatial correlation. In simulations, compared with least-square method, when mean square error is 10^-1 , the proposed method can obtain 2.5dB, 5dB SNR gains for 4 ×4, 6 × 6 systems respectively.

关 键 词：多输入多输出 信道估计 信道空域相关 波达矩阵 

分 类 号：TN911.7[电子电信—通信与信息系统]