  This paper considers a hybrid approach to joint estimation of channel
information and antenna impedance, for single-input, single-output channels.
Based on observation of training sequences via synchronously switched load at
the receiver, we derive joint maximum a posteriori and maximum-likelihood
(MAP/ML) estimators for channel and impedance over multiple packets. We
investigate important properties of these estimators, e.g., bias and
efficiency. We also explore the performance of these estimators through
numerical examples.
