Deep learning-based Direction-of-arrival estimation for far-field sources under correlated near-field interferences

This paper proposes a deep learning-based Direction-of-arrival (DOA) estimation to detect interfered far-field sources. The proposed method consists of a near-field interference rejection network (NFIRnet) and a DOA estimation network (DOAnet). The NFIRnet calculates the near-field components of the...

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Bibliographic Details
Main Authors: Hojun Lee, Yongcheol Kim, Seunghwan Seol, Jaehak Chung
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:ICT Express
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405959522000960