Gridless Underdetermined Direction of Arrival Estimation in Sparse Circular Array Using Inverse Beamspace Transformation

Gridless Underdetermined Direction of Arrival Estimation in Sparse Circular Array Using Inverse Beamspace Transformation

Underdetermined DOA estimation, which means estimating more sources than sensors, is a challenging problem in the array signal processing community. This paper proposes a novel algorithm that extends the underdetermined DOA estimation in a Sparse Circular Array (SCA). We formulate this problem as a...

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Bibliographic Details
Main Authors: Huang, Y. (Author), Tang, X. (Author), Tian, Y. (Author), Zhang, X. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Array processing
Beam space
beamspace
Beamspace transformations
Circular arrays
Covariance matrix
Direction of arrival
DOA estimation
GLS
gridless
Gridless
Gridless SPICE
Intelligent systems
Inverse problems
Linear transformations
Monte Carlo methods
Polynomials
SCA
Sparse circular array
UCA
underdetermined
Underdetermined
Uniform circular arrays
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