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Phase Noise In Mimo Systems: Bayesian Cramér-Rao Bounds And Soft-Input Estimation, Ali A. Nasir, Hani Mehrpouyan, Robert Schober, Yingbo Hua

Hani Mehrpouyan

This paper addresses the problem of estimating time varying phase noise caused by imperfect oscillators in multi-input multi-output (MIMO) systems. The estimation problem is parameterized in detail and based on an equivalent signal model its dimensionality is reduced to minimize the overhead associated with phase noise estimation. New exact and closed-form expressions for the Bayesian Cram´er-Rao lower bounds (BCRLBs) and soft-input maximum a posteriori (MAP) estimators for online, i.e., filtering, and offline, i.e., smoothing, estimation of phase noise over the length of a frame are derived. Simulations demonstrate that the proposed MAP estimators’ mean-square error (MSE) performances are …