Non-Line-of-Sight Multipath Classification Method for BDS Using Convolutional Sparse Autoencoder with LSTM-Reference-Cited by-同舟云学术

Non-Line-of-Sight Multipath Classification Method for BDS Using Convolutional Sparse Autoencoder with LSTM

Published:2025-02 Issue:1 Volume:30 Page:68-86
ISSN:1007-0214
Container-title:Tsinghua Science and Technology
language:
Short-container-title:Tsinghua Sci. Technol.

Author:

Qin Yahang¹,Li Zhenni¹,Xie Shengli²,Li Bo³,Liu Ming⁴,Kuzin Victor⁵

Affiliation:

1. School of Automation, Guangdong University of Technology,Guangdong-Hong Kong-Macao Joint Laboratory for Smart Discrete Manufacturing,Guangzhou,China,510006

2. 111 Center for Intelligent Batch Manufacturing Based on IoT Technology,Key Laboratory of Intelligent Information Processing and System Integration of IoT, Ministry of Education,Guangzhou,China,510006

3. School of Automation, Guangdong University of Technology,Guangdong Key Laboratory of IoT Information Technology,Guangzhou,China,510006

4. Hong Kong University of Science and Technolog,Department of Electronic and Computer Engineering,Hong Kong,China,999077

5. Academician of Russian Engineering Academy, Moscow,Moscow,Russia,125009

Funder

Guangdong Basic and Applied Basic Research Foundation

China Postdoctoral Science Foundation

Publisher

Tsinghua University Press

Link

http://xplorestaging.ieee.org/ielx7/5971803/10676339/10480322.pdf?arnumber=10480322

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4. Fusing Vehicle Trajectories and GNSS Measurements to Improve GNSS Positioning Correction Based on Actor-Critic Learning

5. A multipath mitigation algorithm for GNSS signals based on the steepest descent approach