MIMO Dual-Polarized Channel Extrapolation: From Theory to Experiment

Dual-polarized antenna arrays are widely used to reduce the array aperture and expand the channel capacity in multiple-input multiple-output (MIMO) systems. However, a challenge for doubling the number of antennas is how to reconstruct the large-dimensional channel with low complexity. In this paper, we prove the similarity of the delays, AOAs, and the number of the paths between channels in different polarizations, which is the property of polarization-independency, and verify it through both theoretical analysis and experiments. On basis of the similarity among polarizations, we propose a dual-polarized channel extrapolation scheme with low pilot cost and low computational complexity. Simulations and experiments are conducted to examine the performance of the proposed extrapolation scheme. Results show that the proposed dual-polarized channel extrapolation scheme is feasible in practice and can achieve a good channel reconstruction performance with reduced computational complexity.