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Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam Cover

Performance Evaluation of a Deep Learning-Enhanced Software-Defined Receiver for IRNSS SPS Signals in Vietnam

Artificial Satellites
Volume 60 (2025): Issue 3 (October 2025)
By: Hiep Hoang Van,  Ty Dinh Viet,  Hung Pham Ngoc,  Tung Ta Hai and  Thuan Nguyen Dinh  
Open Access
|Feb 2026

Authors

Hiep Hoang Van

Hanoi University of Science and Technology, Hanoi, Vietnam

Ty Dinh Viet

Hanoi University of Science and Technology, Hanoi, Vietnam

Hung Pham Ngoc

Hanoi University of Science and Technology, Hanoi, Vietnam

Tung Ta Hai

Hanoi University of Science and Technology, Hanoi, Vietnam

Thuan Nguyen Dinh

thuannd@soict.hust.edu.vn

Hanoi University of Science and Technology, Hanoi, Vietnam
DOI: https://doi.org/10.2478/arsa-2025-0008 | Journal eISSN: 2083-6104 | Journal ISSN: 1509-3859
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Language: English
Page range: 137 - 160
Submitted on: May 19, 2025
|
Accepted on: Oct 10, 2025
|
Published on: Feb 12, 2026
Published by: Polish Academy of Sciences, Space Research Centre
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
IRNSS,
NavIC,
Software receiver,
Vietnam
Related subjects:
Geosciences,
Geosciences, other

© 2026 Hiep Hoang Van, Ty Dinh Viet, Hung Pham Ngoc, Tung Ta Hai, Thuan Nguyen Dinh, published by Polish Academy of Sciences, Space Research Centre
This work is licensed under the Creative Commons Attribution 4.0 License.

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