Parameter estimation for MIMO system based on MUSIC and ML methods

Abstract

The frequency offset and channel gain estimation problem for multiple-input multiple-output (MIMO) systems in the case of flat-fading channels is addressed. Based on the multiple signal classification (MUSIC) and the maximum likelihood (ML) 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. All frequency offsets in the subset are then identified with the ML method. Finally, channel gains are calculated with the ML estimator. The algorithm is a one-dimensional search scheme and therefore greatly decreases the complexity of joint ML estimation, which is essentially a multi-dimensional search scheme.

Keywords

multiple-input multiple-output (MIMO) / multiple signal classification (MUSIC) / frequency offsets / channel estimation / maximum likelihood (ML) estimation

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Higher Education Press and Springer-Verlag Berlin Heidelberg