A structured channel estimator for maximum-likelihood sequence detection

摘要

This letter describes a channel estimator using known prior information about the transmit and receive filters. It is shown that the composite channel lies in the subspace of the transmit and receive filter impulse responses. A structured linear channel model is then developed that is linearly parametrized by an unknown vector. To illustrate the potential usefulness of such an approach, the estimated structured channel is used in a multisensor and oversampled maximum-likelihood sequence estimation (MLSE) receiver.