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https://hdl.handle.net/20.500.11851/11611
Title: | Denoising Autoencoder-Driven Direction-Of Estimation With V-Shaped Coprime Antenna Array | Authors: | Sakin, A.O. Tan, H. Orduyilmaz, A. |
Keywords: | Computational efficiency Direction of arrival Learning systems Multiple signal classification Radar antennas Tracking radar Auto encoders Computational technique Coprime De-noising Direction of arrival estimation DOA estimation High resolution Limited snapshots Sensor elements Targets detection Antenna arrays |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | High-resolution Direction of Arrival estimation is critical in radar-based target detection, particularly with limited snapshots. Our approach utilizes efficient computational techniques for precise 2D-paired-DOA estimation, employing a sparsely arranged V-shaped coprime array for its sensor element efficiency. To enhance reliability under low snapshot conditions, we integrate a Denoising Autoencoder to correct errors from noise and snapshot limitations. Subsequently, the DAE's output is fed into an SS-MUSIC algorithm, yielding an impressive over 80 percent DOA estimation accuracy improvement. This method offers a robust solution for high-resolution DOA estimation in scenarios constrained by limited snapshots. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach. | Description: | 15th European Conference on Synthetic Aperture Radar, EUSAR 2024 -- 23 April 2024 through 26 April 2024 -- 199491 | URI: | https://hdl.handle.net/20.500.11851/11611 | ISBN: | 9783800762873 | ISSN: | 2197-4403 |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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