Channel Estimation for Multiple-Input Multiple-Output Orthogonal Chirp-Division Multiplexing Systems

In multiple-input multiple-output (MIMO) systems, channel estimation is of crucial importance to guarantee reliable recovery ultra-high-speed MIMO signals. This paper proposes a novel algorithm for the emerging MIMO-based orthogonal chirp-division multiplexing (OCDM) systems by utilizing unique features OCDM proposed algorithm, set pilot signals designed based on Fresnel basis, which essentially family linear chirps. The pilots are assigned different antennas transmission occupying same time slot and bandwidth. According convolution-preservation theorem transforms, transfer matrices MIMO-OCDM can be readily estimated at receiver without any inter-antenna interference, even if overlap in both frequency domains. avoids bandwidth waste conventional estimators, silent will required and/or ensure received separable. We show that unbiased has better estimate accuracy system performance. Finally, analysis numerical results provided validate its advantages as promising wireless access technology MIMO-OCDM.