YOLO-DoA_A lightweight, real-time, and effective implementation for DoA estimation.pdf (362.65 kB)Download file
YOLO-DoA: A lightweight, real-time, and effective implementation for DoA estimation
preprintposted on 2022-01-25, 15:50 authored 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.
Email Address of Submitting Authorfanrong@cafuc.edu.cn
ORCID of Submitting Author0000-0003-2149-5607
Submitting Author's InstitutionCivil Aviation Flight University of China
Submitting Author's Country