Abstract
In full-duplex (FD) multi-input multi-output (MIMO)- orthogonal frequency division multiplexing (OFDM) systems, the performance of self-interference (SI) cancellation suffers severe degradations due to the presence of stochastic phase noise (PN), which introduces certain estimation error for the SI channel state information (CSI). Following a new design principle to minimize the residual SI power, we look for an optimal linear SI channel estimator for the FD MIMO- OFDM systems with PN. After formulating the residual SI power, a closed-form solution of the optimal linear SI channel estimator is derived by solving a series of quadratic programming problems. Such an optimal SI channel estimator requires information including the covariances between different taps of the SI channel, the relative PN bandwidth, the noise power, and the power of the transmitted signal. Simulation and numerical results show that our proposed scheme outperforms the conventional least square (LS) or minimum mean square error (MMSE) channel estimators, in terms of achieving higher digital SI cancellation ability under various scenarios.
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