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Leveraging Deep Learning for Practical DoA Estimation


Leveraging Deep Learning for Practical DoA Estimation - MDPI

This paper presents an experimental validation of deep learning-based direction-of-arrival (DoA) estimation by using realistic data collected via universal ...

Leveraging Deep Learning for Practical DoA Estimation - PubMed

This paper presents an experimental validation of deep learning-based direction-of-arrival (DoA) estimation by using realistic data ...

(PDF) Leveraging Deep Learning for Practical DoA Estimation ...

PDF | This paper presents an experimental validation of deep learning-based direction-of-arrival (DoA) estimation by using realistic data collected via.

Sensors | Free Full-Text | Leveraging Deep Learning for Practical ...

Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP. Sensors 2022, 22, 7578. https://doi.org/10.3390 ...

Deep Learning for DOA Estimation: Novel Neural Network ...

traditional techniques and achieve more accurate and reliable DOA estimation across diverse practical scenarios. ... The crux of this research lies in leveraging ...

A picture of transmitter and receiver used for the experiment.

from publication: Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP | This paper presents an experimental ...

Leveraging Deep Learning for Practical DoA Estimation ... - J-Global

Article "Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP" Detailed information of the J-GLOBAL is an ...

Deep Learning-Aided Subspace Methods for DoA Estimation - arXiv

These requirements are often violated in practical settings, that frequently involve multiband signals, coherent sources (due to, e.g., ...

Deep Learning-Based DOA Estimation - IEEE Xplore

In practical applications, the au- tocorrelation matrix is agnostic, and the ... capabilities, we leverage CNNs as classifiers for our problem. The key ...

Fusion between a Neural Network and MLE for A Single Snapshot ...

Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP · Engineering, Computer Science. Italian National Conference ...

Data-Driven DoA Estimation via Deep Augmented MUSIC Algorithm

DoA estimator capable of leveraging data to enable MUSIC to ... Rum, “Deep learning approach in DoA estimation: A systematic literature review,” Mob.

Deep Learning-Aided Subspace Methods for DoA Estimation

2024. TLDR. A novel approach that leverages the Transformer model to aid the subspace estimation of Direction of arrival (DOA) estimation and demonstrates the ...

Deep Learning Based DOA Estimation With Trainable-Step-Size ...

Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP. Hyeonjin Chung, Hyunwoo Park, Sunwoo Kim. 2022, Italian ...

2D-DOA Estimation in Switching UCA Using Deep Learning-Based ...

Mentioning: 5 - In this paper, we study the two-dimensional direction of arrival (2D-DOA) estimation problem in a switching uniform circular array (SUCA), ...

Deep Learning-Aided Subspace Methods for DoA Estimation

The authors train the neural network as part of the Root-MUSIC algorithm, leveraging the inherent differentiability of this DoA estimation ...

Arrival Angle Estimation Based on Transfer Learning in Complex ...

Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP. Hyeonjin Chung, Hyunwoo Park, Sunwoo Kim. 2022, Italian ...

‪Hyunwoo Park‬ - ‫محقق Google‬ - Google Scholar

2023. Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP‏. H Chung, H Park, S Kim‏. Sensors 22 (19), 7578 ...

An ESPRIT-Like Algorithm for Coherent DOA Estimation

Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP. Authors. Hyeonjin Chung · ORCID ID · Hyunwoo Park · ORCID ...

Optical computing empowers direction of arrival estimation beyond ...

Leveraging the optical computing architecture of S-DNN, the all-optical DOA ... Off-grid DOA estimation via deep learning framework. Sep 26, 2023 ...

‪Hyeonjin Chung‬ - ‫محقق Google‬ - Google Scholar

Leveraging Deep Learning for Practical DoA Estimation: Experiments with Real Data Collected via USRP‏. H Chung, H Park, S Kim‏. Sensors 22 (19), 7578, 2022‏. 1 ...