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YOLO-DoA_A lightweight, real-time, and effective implementation for DoA estimation.pdf (362.65 kB)
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YOLO-DoA: A lightweight, real-time, and effective implementation for DoA estimation

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posted on 25.01.2022, 15:50 by Chengke Si, Rong FanRong Fan
In this correspondence, an efficient YOLOv3-based approach for DoA estimation named YOLO-DoA is proposed, which is implemented as a detection task to spatially separated angular boxes. DoAs of sources with confidence scores are directly predicted from the spectrum proxy with YOLO-DoA and an end-to-end estimation is realized. By combining squeeze and-excitation operation, cross stage partial connections, and an improved loss for angular box regression, the performance of YOLO-DoA is significantly enhanced.

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Email Address of Submitting Author

fanrong@cafuc.edu.cn

ORCID of Submitting Author

0000-0003-2149-5607

Submitting Author's Institution

Civil Aviation Flight University of China

Submitting Author's Country

China

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