Transactions of Nanjing University of Aeronautics & Astronautics
Computationally Efficient 2D-DOA Estimation for Uniform Planar Arrays: RD-ROOT-MUSIC Algorithm
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Abstract:
The problem of two-dimensional direction of arrival （2D-DOA） estimation for uniform planar arrays （UPAs） is investigated by employing the reduced-dimensional （RD） polynomial root finding technique and 2D multiple signal classification （2D-MUSIC） algorithm. Specifically， based on the relationship between the noise subspace and steering vectors， we first construct 2D root polynomial for 2D-DOA estimates and then prove that the 2D polynomial function has infinitely many solutions. In particular， we propose a computationally efficient algorithm， termed RD-ROOT-MUSIC algorithm， to obtain the true solutions corresponding to targets by RD technique， where the 2D root-finding problem is substituted by two one-dimensional （1D） root-finding operations. Finally， accurate 2D-DOA estimates can be obtained by a sample pairing approach. In addition， numerical simulation results are given to corroborate the advantages of the proposed algorithm.
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Project Supported:
This work was supported by the National Natural Science Foundation of China （Nos.61631020，61971218，61601167， 61371169）.
Clc Number:
TN925
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