DoA-Net: Single-Pixel Compressive Direction of Arrival Estimation

Citation Author(s):: Kürşat
Tekbıyık

Okan
Yurduseven

Güneş
Karabulut Kurt
Submitted by:: Kursat Tekbiyik
Last updated:: Tue, 05/17/2022 - 22:18
DOI:: 10.21227/fn5h-xc35
Data Format:: *.m *.mat
Research Article Link:: Graph Attention Network-Based Single-Pixel Compressive Direction of Arrival Estimation
Links:: Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation
License:: Creative Commons Attribution

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Categories:: Artificial Intelligence
Signal Processing
Machine Learning
Communications
Keywords:: metamaterials and metasurfaces, mmWave, graph neural network, DOA

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Abstract

The dataset consists of training and test data and label matrices for single-pixel compressive DoA estimation for mmWave metasurface. The dataset will be uploaded soon. Currently, a small part of the dataset can be accessed through this repository. For detailed information, please visit Graph Attention Network Based Single-Pixel Compressive Direction of Arrival Estimation through https://arxiv.org/abs/2109.05466

Instructions:

The dataset and documents will be uploaded soon. A small part of the dataset is currently accessible.

For detailed information, please visit https://arxiv.org/abs/2109.05466

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Dataset Files

readme.txt (220 bytes)
doa_mp30_m_snr_50_50.mat (165.95 MB)

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