Построение аналитической модели радиоканала MIMO на основе аппроксимации полной корреляционной матрицы

Abstract

This paper addresses the experimental wireless MIMO channel modeling and validation based on channel sounding data using the approximation of the full channel correlation matrix. Measurement were carried out in indoor laboratory environment at central frequency 2.3 GHz. An analytical MIMO channel model is presented based on optimal approximation of channel covariance matrix. Approximation of a full channel covariance matrix is based on the optimal Kronecker product series expansion of the sample covariance matrix. The channel correlation matrices calculated from the measured channel coefficients were decomposed using Van Loan and Pitsanis approximation algorithm. Experimental validation of such model is presented. The accuracy of the MIMO channel modeling was evaluated by the correlation matrix distance and by calculating of CDF of channel capacity. The results show that these models have good agreement with the MIMO channel measured data. Also two popular analytical MIMO channel models – Kronecker and Weichselberger models are evaluated and compared with the presented channel model.