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Subspace leakage reduced nonuniform sparse Fibonacci‐like planar array to estimate azimuth and elevation angles of both Angle of Arrival and Angle of Departure
Author(s) -
Vethanayagam Angeline Beulah,
Narasimhan Venkateswaran
Publication year - 2021
Publication title -
transactions on emerging telecommunications technologies
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.366
H-Index - 47
ISSN - 2161-3915
DOI - 10.1002/ett.4162
Subject(s) - azimuth , planar array , angle of arrival , planar , algorithm , direction of arrival , computer science , subspace topology , direction finding , angular resolution (graph drawing) , antenna array , signal subspace , optics , mathematics , physics , noise (video) , antenna (radio) , telecommunications , computer vision , artificial intelligence , combinatorics , computer graphics (images) , image (mathematics)
Estimation of azimuth and elevation angles of both Angle of Arrival and Angle of Departure is a challenging research topic in 5G smart antenna technology. The key contributions of this work involve two novel algorithms implemented in a uniform planar array for the estimation of the arrival and departure angles using the received signal from the coherent users. One of the two algorithms reduces search complexity without any reduction in the angular resolution of the estimated angles. This is done through selection of active antennas in the uniform planar array to make it sparse without creating angle ambiguity. The second method improves the angular resolution in estimating the angles through reduction in the subspace leakage that occurs between the signal and noise subspace. Numerical simulations prove the proposed two algorithms producing a high angular resolution with reduced complexity.