摘要
该文提出了一种基于MUSIC和ML方法联合估计MIMO系统频偏和信道增益的算法,该算法首先使用MUSIC方法估计出多个发射天线到某一接收天线的频偏子集,然后利用最大似然方法在这个有限子集中分离出不同天线对之间的频偏,最后在频率同步的基础上利用最大似然估计器对信道增益进行估计。该算法解决了在估计多个频偏时直接使用最大似然估计进行多维搜索的问题,将多维搜索转化为一维搜索,降低了算法的复杂度。
The frequency offsets and channel gains estimation problem for MIMO system in the case of fiat-fading channels is addressed. Based on the MUSIC (Multiple Signal Classification) and the ML (Maximum Likelihood) methods, a new joint estimation algorithm of frequency offsets and channel gains is proposed. The new algorithm has three steps. A subset of frequency offsets is first estimated with the MUSIC algorithm. Then all frequency offsets in the subset are identified with the ML method. Finally channel gains are estimated with the ML estimator. The algorithm is a one-dimensional search scheme and therefore greatly decreases the complexity of the joint ML estimation, which is essentially a multi-dlmensional search scheme.
出处
《电子与信息学报》
EI
CSCD
北大核心
2008年第7期1552-1556,共5页
Journal of Electronics & Information Technology
基金
国家自然科学基金重大项目(60496316)
国家自然科学基金项目(60572146)
高等学校博士学科点专项科研基金(20050701007)
高等学校优秀青年教师教学科研奖励计划
教育部科学技术研究重点项目(107103)资助课题
关键词
MIMO
MUSIC
频偏估计
信道估计
最大似然估计
MIMO
MUSIC (Multiple Signal Classification)
Frequency offsets
Channel estimation
ML(MaximumLikelihood) estimation