A Systematic Approach to Deriving the Covariance Matrix of Correlated Nakagami-m Fading Channels

Jia Chin Lin, H. Vincent Poor

2 引文 斯高帕斯（Scopus）

摘要

The covariance matrix plays an important role in second-order statistics, enabling numerous signal processing techniques. By exploiting the multivariate moment-generating function (MGF), this paper analytically derives an exact, closed-form joint probability density function (JPDF) of the envelopes of two correlated Nakagami-m channels and their phase difference when m\geq 1.0$. By exploiting a common-variance approximation, an approximate, closed-form JPDF is derived for .5\leq m< 1.0$ because of the in-phase/quadrature-phase (I/Q) imbalance property of Hoyt fading channels. According to the derived JPDFs, the covariance matrix can be calculated in a form consisting of only one definite integral. Simulations are conducted to confirm the analytical results in terms of the covariance matrix and the PDF of the phase difference.

原文 ???core.languages.en_GB??? 8922729 1612-1625 14 IEEE Transactions on Vehicular Technology 69 2 https://doi.org/10.1109/TVT.2019.2957449 已出版 - 2月 2020

指紋

• 小型基地台干擾協調與最佳化負載平衡研(2/2)

Lin, J.

1/08/1931/07/20

研究計畫: Research