A Low-Complexity DOA Estimation Algorithm for 2D Massive MIMO System

DOI

10.2991/icitmi-15.2015.147How to use a DOI?

Keywords

Direction of Arrival (DOA); Massive MIMO; Propagator Method (PM).

Abstract

Massive multiple-input multiple-output (MIMO) system has become a crucial technology meeting the ever-increasing data consumption demand, for it has more channel capacity, higher frequency spectrum efficiency and reliability. The direction of arrival (DOA) estimation on the base station has a marked impact on massive MIMO system capacity and frequency spectrum efficiency. In this paper, we study the DOA estimation method for two-dimensional (2D) massive MIMO system. ESPRIT algorithm has high computational complexity due to the eigenvalue decomposition (EVD) of the signal’s covariance matrix. Propagator method (PM) does not require the EVD of the autocorrelation matrix thus needs a relatively small amount of computation. This paper proposes a PM-based 2D DOA estimation algorithm that applies to massive MIMO system. Numerical results demonstrate that the proposed estimation method has lower computational complexity than ESPRIT, and its performance is comparable with ESPRIT in high SNR.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaoyu Li
AU  - Wei Wu
AU  - Xiaofei Zhang
PY  - 2015/10
DA  - 2015/10
TI  - A Low-Complexity DOA Estimation Algorithm for 2D Massive MIMO System
BT  - Proceedings of the 4th International Conference on Information Technology and Management Innovation
PB  - Atlantis Press
SP  - 874
EP  - 879
SN  - 2352-538X
UR  - https://doi.org/10.2991/icitmi-15.2015.147
DO  - 10.2991/icitmi-15.2015.147
ID  - Li2015/10
ER  -