Maximum likelihood MIMO channel tracking

A new tracking algorithm, based on the maximum likelihood (ML) algorithm for time-varying flat fading multiple-input multiple-output (MIMO) channels, is introduced. The maximum likelihood algorithm is optimum with known channel model assumptions. The performance and tracking behavior of the proposed algorithm is justified via various simulations for a first-order time-varying MIMO channel, and it is shown that this algorithm is applicable, even for moderately fast Rayleigh fading MIMO channels.