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Abstract:   (126 Views)
Blocking interference poses significant challenges to the accuracy and reliability of navigation systems by obstructing the communication path. Single-frequency receivers are generally more susceptible to blocking interference due to their limited ability to compensate for obstructed signals or access alternative signal sources. The integration of Global Navigation Satellite Systems (GNSS) is among the most effective strategies for mitigating blocking interference. By combining signals from multiple sources, the likelihood of accessing stable and reliable signals significantly improves. The four Global GNSS include Global Positioning System (GPS), Global Navigation Satellite System (GLONASS), BeiDou, and Galileo. This paper examines the challenges of system integration in addressing navigation equations and proposes suitable solutions. Two datasets were collected under conditions of blocking disturbances, and receiver performance was simulated across 14 different modes using a software platform. The results were analyzed considering factors such as the number of satellites in view, satellite positions, extracted positions, as well as Root Mean Square (RMS), Geometric Dilution of Precision (GDOP), and Position Dilution of Precision (PDOP) parameters. In these scenarios, the GPS system in single-frequency mode, the combination of GPS and GLONASS in dual mode, and the combination of GPS, GLONASS, and Galileo in triple mode demonstrated the best performance. However, the best performance, irrespective of computational load and hardware complexity, was achieved in the quadruple integration mode.
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Type of Study: Research Paper | Subject: Signal Processing
Received: 2025/06/03 | Revised: 2025/12/07 | Accepted: 2025/08/26

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Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
© 2022 by the authors. Licensee IUST, Tehran, Iran. This is an open access journal distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license.