A Novel Method for 2D DOA Estimation Based on URA in Massive MIMO Systems
Massive MIMO is one of the enabling technologies to cope with exponential data growth. It is very crucial for downlink precoding to accurately estimate direction-of-arrival. A lot of work has been done for 2D DOA estimation based on uniform rectangular array. However, in cases that snapshots are severely limited, such as extremely complex communication environment, conventional 2D DOA estimation method cannot work properly. Iterative adaptive approach (IAA) is one of the sparse algorithms which can handle heavy snapshot limitations. In this paper, we propose a novel 2D DOA estimation algorithm based on IAA for massive MIMO systems. Unlike conventional methods, an estimator in this algorithm is updated by previous iteration instead of the snapshots. The iteration ends until convergence. Simulation results demonstrate that the proposed algorithm is superior to conventional methods in low snapshot cases.
Keywords2D DOA estimation Massive MIMO Few snapshots
This work is funded by the National Natural Science Foundation of China under Grant 61601494.
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