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Title: Denoising Autoencoder-Driven Direction-of-Arrival 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
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
ISBN: 9783800762873
ISSN: 2197-4403
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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