Deep learning-based DOA estimation for hybrid massive MIMO receive array with overlapped subarrays

Deep learning-based DOA estimation for hybrid massive MIMO receive array with overlapped subarrays

Abstract As massive MIMO is a key technology in the future sixth generation (6G), the large-scale antenna arrays are widely considered in direction-of-arrival (DOA) estimation for they can provide larger aperture and higher estimation resolution. However, the conventional fully digital architecture...

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Bibliographic Details
Main Authors: Yifan Li, Baihua Shi, Feng Shu, Yaoliang Song, Jiangzhou Wang
Format: Article
Language:English
Published: SpringerOpen 2023-10-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Direction-of-arrival (DOA) estimation
Massive MIMO
Overlapped subarray
Deep learning
Cramer–Rao lower bound (CRLB)
Online Access:https://doi.org/10.1186/s13634-023-01074-3

Internet

https://doi.org/10.1186/s13634-023-01074-3

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