(英) |
Massive multiple-input multiple-output (MIMO) is MIMO with many antenna elements, and is attracting attention as a technology to cope with the future growth of wireless communication traffic. Recently, Massive MIMO systems with an analog-digital hybrid structure have been proposed, which can achieve low power consumption by reducing the number of radio frequency (RF) chains compared to the number of antennas. The performance of this Massive MIMO systems is highly dependent on the direction-of-arrival (DoA) estimation of the incoming signals, which requires a low computational complexity and high accuracy DoA estimation algorithm. Music, a conventional DoA estimation algorithm, requires eigenvalue decomposition (EVD) of the spatial covariance matrix, which is computationally expensive in a Massive MIMO systems with many antennas. In contrast, the DoA estimation algorithm called the Propagator Method (PM) does not require the EVD of the spatial covariance matrix and can estimate the DoA using only linear operations. In this paper, we evaluate and study the performance of DoA estimation when this PM is adapted to Hybrid MIMO systems. The results from computer simulation shows high estimation accuracy of PM in Hybrid MIMO systems, confirming that PM is an effective DoA estimation algorithm in Hybrid MIMO systems. |