A Novel Method for Placing the Sensors for Noncircular Sources in DOA Estimation to Reduce the Mutual Coupling

In this paper, we present a novel method of placing the sensors of a sparse array for non-circular sources in direction-of-arrival (DOA) estimation. We know that for non-circular sources, the elliptic covariance is not equal to zero and we can we can exploit the sum and the difference coarray (SDCA)...

Full description

Saved in:
Bibliographic Details
Published in2023 3rd International Conference on Range Technology (ICORT) pp. 1 - 5
Main Authors Patra, Rajen Kumar, Dhar, Anindya Sundar
Format Conference Proceeding
LanguageEnglish
Published IEEE 23.02.2023
Subjects
degrees of freedom
Direction-of-arrival estimation
DOA estimation
Estimation
Multiple signal classification
Mutual coupling
non-circular sources
Pattern classification
Sensors
Smoothing methods
Online AccessGet full text

Cover

More Information
Summary:In this paper, we present a novel method of placing the sensors of a sparse array for non-circular sources in direction-of-arrival (DOA) estimation. We know that for non-circular sources, the elliptic covariance is not equal to zero and we can we can exploit the sum and the difference coarray (SDCA) of the sparse array by implementing the spatial smoothing MUltiple Signal Classification (MUSIC) algorithm. The resulting sparse structure can significantly mitigate the mutual coupling effect of the original configuration without reducing the degrees of freedom (DOF) it achieves. As the mutual coupling of the generated configuration reduces, its DOA estimation performance also improves than the original configuration. All the required simulations are carried out to evaluate the superiority of the proposed method.
DOI:10.1109/ICORT56052.2023.10249169