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