Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds

Christopher J. Bell; Kaushallya Adhikari; Andrew Brown

doi:10.1109/ACCESS.2025.3538997

Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds

Christopher J. Bell
, Kaushallya Adhikari
, Andrew Brown

University of Rhode Island’s College of Engineering

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	25533-25545
Number of pages	13
Journal	IEEE Access
Volume	13
DOIs	https://doi.org/10.1109/ACCESS.2025.3538997
State	Published - 2025
Externally published	Yes

ASJC Scopus Subject Areas

General Computer Science
General Materials Science
General Engineering

Keywords

Convolutional neural network
Cramer-Rao lower bound
direction of arrival
imperfect information
missing sensors
muffled array
multiple signal classification
perturbed array
regression

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10.1109/ACCESS.2025.3538997

Cite this

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title = "Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds",

keywords = "Convolutional neural network, Cramer-Rao lower bound, direction of arrival, imperfect information, missing sensors, muffled array, multiple signal classification, perturbed array, regression",

author = "Bell, \{Christopher J.\} and Kaushallya Adhikari and Andrew Brown",

note = "Publisher Copyright: {\textcopyright} 2013 IEEE.",

year = "2025",

doi = "10.1109/ACCESS.2025.3538997",

language = "English",

volume = "13",

pages = "25533--25545",

journal = "IEEE Access",

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TY - JOUR

T1 - Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds

AU - Bell, Christopher J.

AU - Adhikari, Kaushallya

AU - Brown, Andrew

PY - 2025

Y1 - 2025

KW - Convolutional neural network

KW - Cramer-Rao lower bound

KW - direction of arrival

KW - imperfect information

KW - missing sensors

KW - muffled array

KW - multiple signal classification

KW - perturbed array

KW - regression

UR - https://www.scopus.com/pages/publications/85217522476

UR - https://www.scopus.com/pages/publications/85217522476#tab=citedBy

U2 - 10.1109/ACCESS.2025.3538997

DO - 10.1109/ACCESS.2025.3538997

M3 - Article

AN - SCOPUS:85217522476

SN - 2169-3536

VL - 13

SP - 25533

EP - 25545

JO - IEEE Access

JF - IEEE Access

ER -

Convolutional Neural Networks for Direction of Arrival Estimation Compared to Classical Estimators and Bounds

ASJC Scopus Subject Areas

Keywords

Access to Document

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