Shift-invariant structure-imposed convolutional neural networks for direction of arrival estimation

K Adhikari - 2022 IEEE World AI IoT Congress (AIIoT), 2022 - ieeexplore.ieee.org
This paper frames the estimation of directions of arrival of plane waves impinging on an
array of sensors as a classification problem using convolutional neural networks (CNNs) …

Sparse Arrays for Sonar

K Adhikari, KE Wage - Sparse Arrays for Radar, Sonar, and …, 2024 - Wiley Online Library
Underwater remote sensing relies primarily on acoustic signals since electromagnetic
waves are significantly attenuated by the medium. Sonar is used in a wide variety of …

Effects of Signal and Array Parameters on MSE and CRB in DOA Estimation

K Beshara-Flynn, K Adhikari - 2022 IEEE 13th Annual …, 2022 - ieeexplore.ieee.org
Fully populated and sparse sensor arrays are used in estimation of directions of arrival
(DOAs) of plane waves arriving on the sensor arrays. Mean-squared error (MSE) in DOA …

Model Order Estimation for Sensor Array Observations using a Neural Network

K Adhikari, R Al Kinani - 2024 IEEE World AI IoT Congress …, 2024 - ieeexplore.ieee.org
This research develops a feedforward neural network consisting of one-dimensional
convolutional layers and applies it to model order estimation for data received by an array of …

[图书][B] Trade-offs among signal correlation, SNR, and number of snapshots for direction of arrival estimation using sparse arrays

K Beshara-Flynn - 2022 - search.proquest.com
Arrays can be designed as a full array of sensors or a sparse array of sensors with an
equivalent aperture. Reductions in cost, size, weight and power consumption are important …