Direction-of-Arrival Estimation using Location Unaware Linear Array

This paper presents a subarray based minimum variance distortionless response beamformer for a location unaware linear array. We show that asymptotically, it is possible to estimate the direction of arrival (DoA) using a linear array, without the knowledge of exact locations of the sensors. We then...

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Bibliographic Details
Published in2023 57th Asilomar Conference on Signals, Systems, and Computers pp. 545 - 548
Main Authors Mehta, Parth, Appaiah, Kumar, Velmurugan, Rajbabu
Format Conference Proceeding
LanguageEnglish
Published IEEE 29.10.2023
Subjects
Apertures
Computers
direction-of-arrival
Direction-of-arrival estimation
Estimation error
Finite element analysis
location-unaware sensing
non-uniform array
Sensors
Simulation
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Summary:This paper presents a subarray based minimum variance distortionless response beamformer for a location unaware linear array. We show that asymptotically, it is possible to estimate the direction of arrival (DoA) using a linear array, without the knowledge of exact locations of the sensors. We then propose a subarray based algorithm, to estimate DoA using minimum variance distortionless response (MVDR) beamformer. We quantify the bias in the DoA estimation, and provide an empirical method to address this issue. We then compare and show that the proposed method outperforms robust MVDR, nested-array MVDR and reduced-dimension MVDR, in terms of improved root-mean-squared error (RMSE).
ISSN:2576-2303
DOI:10.1109/IEEECONF59524.2023.10476869