Parameter Estimation for MIMO System Based on MUSIC and ML Methods
基于MUSIC和ML方法的MIMO系统参数估计

The frequency offsets and channel gains estimation problem for MIMO system in the case of flat-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-dimensional search scheme.