SSP'05 -- Proceedings

	IEEE/SP 13th workshop on Statistical Signal Processing July, 17-20, 2005 - Bordeaux - France

Information regarding the paper

Title

Performance Analysis of an MIMO Channel Estimator Based on Superimposed Training and First-Order Statistics

Author(s)

Jitendra Tugnait	Auburn University
Shuangchi He	Auburn University

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Abstract

Channel estimation for multiple-input multiple-output (MIMO) time-invariant channels using superimposed training is considered. Recently in [1], the first-order statistics-based approach of [11] was extended to multiuser systems (where semiblind versions using linear MMSE equalizers or Viterbi detectors were also presented). In this paper we present a performance analysis of the approach of [1] to obtain a closed-form expression for the channel estimation variance. We then address the issue of superimposed training power allocation for complex Gaussian random (Rayleigh) channels for MIMO systems arising from spatial multiplexing of a single user signal. Illustrative simulation examples are provided.