A Planar-Like Sensor Array for Efficient Direction-of-Arrival Estimation

In this letter, we propose an improved variable step size (VSS) least mean square (LMS) technique by exploiting the planar-like sensor array. The improved VSS-LMS method makes use of all the available samples for gradient estimation. This accelerates the convergence rate of the proposed method. Furt...

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Published in:IEEE sensors letters 2022-09, Vol.6 (9), p.1-4
Main Authors: D, Veerendra, He, Jin, Shu, Ting
Format: Article
Language:English
Subjects:
Array signal processing
Beamforming
Direction of arrival
direction-of-arrival (DOA)
Direction-of-arrival estimation
Eigenvalues
Estimation
Multiple signal classification
sensor array
Sensor arrays
Sensor signal processing
Sensors
Signal to noise ratio
variable step size least mean square (VSSLMS)
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He, Jin
Shu, Ting
description In this letter, we propose an improved variable step size (VSS) least mean square (LMS) technique by exploiting the planar-like sensor array. The improved VSS-LMS method makes use of all the available samples for gradient estimation. This accelerates the convergence rate of the proposed method. Furthermore, the proposed beamforming method is deployed to estimate multiple narrow-band signals arriving from a far field. This technique avoids the prior information of source number estimation and eigenvalue decomposition. Finally, computer simulations are presented to evaluate the proposed method's efficacy.
doi_str_mv 10.1109/LSENS.2022.3201984
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subjects Array signal processing
Beamforming
Direction of arrival
direction-of-arrival (DOA)
Direction-of-arrival estimation
Eigenvalues
Estimation
Multiple signal classification
sensor array
Sensor arrays
Sensor signal processing
Sensors
Signal to noise ratio
variable step size least mean square (VSSLMS)
title A Planar-Like Sensor Array for Efficient Direction-of-Arrival Estimation
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