SAGE based joint timing-frequency offsets and channel estimation in distributed MIMO systems

Authors:
Yuan Tian;Xia Lei;Yue Xiao;Shaoqian Li
Affiliations:
National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-tech Zone, Chengdu, Sichuan Province 6 ...;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-tech Zone, Chengdu, Sichuan Province 6 ...;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-tech Zone, Chengdu, Sichuan Province 6 ...;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, No. 2006, Xiyuan Ave., West Hi-tech Zone, Chengdu, Sichuan Province 6 ...
Venue:
Computer Communications
Year:
2010

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Abstract

This paper proposes a timing-frequency offset estimation algorithm joint with channel estimation in distributed multi-input multi-output (MIMO) systems, in which different timing and frequency offsets are considered for each pair of transmit and receive antennas. Different from most of the existing methods which estimate the timing or frequency offsets separately, the proposed scheme makes a joint estimation with a maximum-likelihood (ML) estimation model. Furthermore, an iterative space-alternating generalized expectation-maximization (SAGE) estimator is proposed to provide a solution to the multi-dimensional extreme-value problem. And the Cramer-Rao bound (CRB) for multiple parameter estimation is also derived. Simulations show that the estimation performance of the proposed scheme can reach the CRB effectively.