A Fast PM-Based DOA Estimation Method with Automatic Pairing

Weicong Tang, Licheng Liu, Yide Wang · 2018

Massive MIMO technology, considered as one of the fifth generation (5G) system candidates, has been more and more important in research. The direction of arrival (DOA) estimation is closely related with massive MIMO system. Hence, a precise and low computational method to estimate DOA of the signals is necessary. In this paper, we extended the signal model in a 2D problem with a plane antenna array and proposed an improvements of Propagator method (PM). Based on root MUSIC method, the angle parameter can be estimated by another angle parameter. It does not need to reconstruct the system model and achieve automatic pairing. So this method can reduce the computational complexity significantly and has well performance in low SNR condition.

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