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Recursive ESPRIT Algorithm for Multi-User OAM Low-Overhead AoA Estimation
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DOI：10.1109/TVT.2022.3212109.png)
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Multi-user orbital angular momentum (MU-OAM) wireless backhaul systems require precise alignment of transmitted and received OAM beams in line-of-sight (LoS) scenarios. Therefore, a crucial feature for a macro base station (MBS) is to accurately obtain the angle of arrival (AoA) of OAM beams from the small base stations (SBSs) in the system. Considering the limitations of existing OAM-based AoA estimations, we propose a novel super-resolution AoA estimation method, denoted as the recursive estimation of signal parameters via rotational invariance techniques (ESPRIT) method. The proposed technique is fundamentally different from traditional ESPRIT algorithm: It is not based on the displacement-invariant array structure, but on the recursive characteristic of Bessel functions in OAM signals. With this method, the inter-mode interference of the LoS MU-OAM system can be significantly suppressed by less training overhead, and the performance is close to that of the ideal system.
Keyword:
Orbital angular momentum (OAM)
wireless backhaul
angle of arrival (AoA) estimation
estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
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