Efficient MAP-based estimation and compensation of phase noise in MIMO-OFDM receivers

This article proposes an iterative orthogonal frequency division multiplexing receiver employing low-complexity phase noise mitigation to alleviate degradation in the channel estimation and the data detection stages of a spatially multiplexed multiple-input multiple-output communication system. Severe oscillator phase noise gives rise to inter-carrier interference that becomes a limiting factor in sustaining reliable communication link. To mitigate phase distortion in a multi-path Rayleigh fading channel, we built an iterative Bayesian algorithm based on the statistical modeling of the phase noise process. However, the resultant informed estimators require computationally intensive inversion of large dimensional matrices. Taking advantage of the approximate sparsity pattern inherent to the phase noise spectral composition and exploiting decoupled compensators, the proposed sub-optimal scheme suppresses phase noise induced perturbation with a modest complexity increment. Our claims are supported by the numerical analysis, which demonstrate the estimator efficacy considering a generalized oscillator signal distribution network based on the spatial correlation of the phase noise processes.