MIMO Channel Reconstruction from Lower Dimensional Multiple Antenna Measurements

TL;DR

This paper introduces a method to reconstruct higher-dimensional MIMO channel matrices from lower-dimensional measurements by exploiting correlation matrix symmetry, enabling capacity prediction and analysis of MIMO systems.

Contribution

It presents a novel approach to reconstruct full MIMO channel matrices from partial measurements using correlation matrix symmetry, applicable to spatial and polarimetric domains.

Findings

Reconstruction of 2x4 MIMO channels from 2x2 measurements demonstrated via simulations.

Method successfully predicts ergodic capacity from single-antenna measurements.

Applicability shown with real land mobile satellite measurements at 2.5 GHz.

Abstract

A method for reconstructing multiple-input multiple-output (MIMO) channel correlation matrices from lower dimensional channel measurements is presented. Exploiting the symmetry of correlation matrix structure enables reproducing higher dimensional MIMO channel matrices from available lower order measurements. This leads to practically important applications allowing prediction of higher dimensional MIMO system capacity. In particular, we study Kronecker-type MIMO channels suitable for reconstructing full channel matrices from partial information about transmit-receive fading in spatial and polarimetric domains and analyze validity conditions for such models. One of the important channel conditions is Doppler frequency related to non-stationarity in the environment. We present simulations of cluster-type scattering model using 2x2 MIMO channel correlation matrices to predict performance of 2x4 MIMO system including recovery of angular power spectrum. An example of dual circular polarized 2x4 MIMO land mobile satellite measurements in 2.5 GHz frequency band illustrates applicability of the method to reconstruct spatial and polarimetric channel correlation matrices for estimating ergodic channel capacity from single-antenna or uni-polarized measurements.