Efficient training design for estimation of channel, CFO, and receiver I/Q imbalance in MIMO-OFDM systems

In this paper, training design for estimation of frequency selective channels, carrier frequency offset (CFO) and in-phase/quadrature-phase (I/Q) imbalance in multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems is proposed. We utilize convex optimization technique to optimize power of all active subcarriers, then we employ adaptive Markov chain Monte Carlo (AMCMC) techniques to select training sequence that minimizes the channel estimate mean squared error (MSE) while suppressing the effect of the I/Q imbalance. To estimate CFO, maximum likelihood (ML) based scheme that utilizes two successive OFDM training symbols is deployed. Numerical simulations are provided to corroborate the efficacy of the proposed design.