A Fast Adaptive Beamforming Technique for Efficient Direction-of-Arrival Estimation

A plethora of problems related to signal estimation and direction can be effectively solved by using a sensor array. To this end, uniform estimation for all direction-of-arrivals (DOAs) with low computational complexity is an indispensable step for numerous applications. In this paper, we present th...

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Published in:IEEE sensors journal 2022-12, Vol.22 (23), p.1-1
Main Authors: D, Veerendra, Jalal, Babur
Format: Article
Language:English
Subjects:
Beamforming
Complexity
Convergence
Covariance matrices
Direction of arrival
direction-of-arrival (DOA)
Direction-of-arrival estimation
Estimation
Linear arrays
Sensor Array
Sensor arrays
Sensors
ULA
VSSLMS
Wireless communication
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description A plethora of problems related to signal estimation and direction can be effectively solved by using a sensor array. To this end, uniform estimation for all direction-of-arrivals (DOAs) with low computational complexity is an indispensable step for numerous applications. In this paper, we present the DOA estimation method exploiting the recently proposed fast variable step size least mean square (FVSSLMS) method [1]. In most of the DOA estimation works, a uniform linear array (ULA) was used. Nonetheless, a ULA does not perform well for the DOA estimation when the signal sources are impinging close to the array endfire. To circumvent this issue, we modify the structure of ULA by displacing its four sensors to the top and bottom of the first and the last sensor. Computer simulations demonstrate that the proposed method provides uniform estimation performance for all DOAs with reduced computation complexity.
doi_str_mv 10.1109/JSEN.2022.3211003
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subjects Beamforming
Complexity
Convergence
Covariance matrices
Direction of arrival
direction-of-arrival (DOA)
Direction-of-arrival estimation
Estimation
Linear arrays
Sensor Array
Sensor arrays
Sensors
ULA
VSSLMS
Wireless communication
title A Fast Adaptive Beamforming Technique for Efficient Direction-of-Arrival Estimation
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