GNSS Signal Reception System Based on Open-Source SDR Platforms
Keywords:
Software-Defined Radio (SDR), GPS signal reception, RTL-SDR, GNURadio, Low-cost positioningAbstract
This paper presents a low-cost GPS signal reception system based on open-source SDR (Software-Defined Radio) technology. Using RTL-SDR hardware and the GNURadio software platform, it achieves acquisition, tracking, and positioning of GPS L1-band signals. Through a modular design, the system implements key stages such as signal synchronization, navigation message decoding, and position calculation, delivering civil-grade positioning accuracy in open-sky environments. Experimental results show that the solution is low-cost and highly flexible, making it suitable for scientific research, education, and civil navigation applications.
References
Yang, J., Wang, Z., & Chen, C. (2024). GCN-MF: A graph convolutional network based on matrix factorization for recommendation. Innovation & Technology Advances, 2(1), 14–26. https://doi.org/10.61187/ita.v2i1.30
Zhang, Yujun, et al. "MamNet: A Novel Hybrid Model for Time-Series Forecasting and Frequency Pattern Analysis in Network Traffic." arXiv preprint arXiv:2507.00304 (2025).
Guo, Y. (2025). The Optimal Trajectory Control Using Deterministic Artifi cial Intelligence for Robotic Manipulator. Industrial Technology Research, 2(3).
Zhou, Z. (2025). Research on Software Performance Monitoring and Optimization Strategies in Microservices Architecture. Artificial Intelligence Technology Research, 2(9).
Peng, Qucheng, Ce Zheng, and Chen Chen. "A Dual-Augmentor Framework for Domain Generalization in 3D Human Pose Estimation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024.
Meng , L. (2023). Research on the Evaluation System of Green Cabling of Cables Based on Neural Network. Innovation & Technology Advances, 1(2), 25–31. https://doi.org/10.61187/ita.v1i2.37
We, X., Lin, S., Pruś, K., Zhu, X., Jia, X., & Du, R. (2025). Towards Intelligent Monitoring of Anesthesia Depth by Leveraging Multimodal Physiological Data. International Journal of Advance in Clinical Science Research, 4, 26–37. Retrieved from https://www.h-tsp.com/index.php/ijacsr/article/view/158
Zhang, Wenqing, et al. "Enhancing Logical Reasoning in Large Language Models via Multi-Stage Ensemble Architecture with Adaptive Attention and Decision Voting." Proceedings of the 2024 5th International Conference on Big Data Economy and Information Management. 2024.
Zhang, W., Shih, K., Jin, Y., Chen, Z., Liu, L., & Zhang, Z. (2025, January). Dynamic Cross-Attention and Multi-Level Feature Fusion for Fine-Grained Image Captioning in Advertising. In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE) (pp. 282-286). IEEE.
Zhang, D., Fu, J., Zheng, J., Deng, Z., & Yang, Z. (2025). Maximizing Scoring Divergence in Automated Essay Assessment with LLaMA-Based Meta-Attention Networks.
Huang, X., Lin, Z., Sun, F., Zhang, W., Tong, K., & Liu, Y. (2025). Enhancing Document-Level Question Answering via Multi-Hop Retrieval-Augmented Generation with LLaMA 3. arXiv preprint arXiv:2506.16037.
Wang, Y., & Bi, X. (2025, January). Hierarchical Adaptive Fine-Tuning Framework for Enhancing Multi-Task Learning in Large-Scale Models. In 2025 5th International Conference on Neural Networks, Information and Communication Engineering (NNICE) (pp. 1582-1586). IEEE.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Shuyu Kang
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
