Application of Symplectic Geometry Mode Decomposition Based on Gaussian Process Space Angle in DOA Estimation-Reference-Cited by-同舟云学术

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Application of Symplectic Geometry Mode Decomposition Based on Gaussian Process Space Angle in DOA Estimation

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Zhang Zhaolin¹^ORCID,Zhao Yinan²^ORCID,Meng Wugang³^ORCID,Li Yingchun¹^ORCID,Jin Ming¹^ORCID

Affiliation:

1. School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

2. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China

3. School of Engineering, Hong Kong University of Science and Technology, Sai Kung, New Territories, Hong Kong

Funder

National Natural Science Foundation of China

National Natural Science Foundation of Shandong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10365570.pdf?arnumber=10365570

Reference33 articles.

1. Characterization of Moving Sound Sources Direction-of-Arrival Estimation Using Different Deep Learning Architectures

2. Cyclostationarity-exploiting direction finding algorithms

3. A DOA Estimation Algorithm Based on Eigenvalues Ranking Problem

4. Cooperative Localization of a GPS-Denied UAV Using Direction-of-Arrival Measurements

5. A Low-Complexity DOA Estimation Algorithm for Distributed Source Localization

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1. Spatial Parameter Identification for MIMO Systems in the Presence of Non-Gaussian Interference;Remote Sensing;2024-03-31

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