Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/11611
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
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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