In Press                   Back to the articles list | Back to browse issues page

XML Print

Advanced GLONASS Satellite Simulator Based on Fuzzy Logic for Optimizing Navigation Precision through Enhanced GDOP
N. Dabaghi Daryan , Mohammad Reza Mosavi , Sattar Mirzakuchaki , S. Tohidi
Abstract:   (28 Views)
GNSS simulators are essential tools for testing and validating satellite navigation system receivers across various civil applications. This study introduces an improved GLONASS satellite simulator to optimize navigation precision by enhancing the satellite constellation's Dilution of Precision (DOP). The proposed simulator operates in two steps. In the first step, the system performs a full-day search to identify time intervals with minimal DOP using a local moving-average technique. In the second step, the impact of adding one virtual satellite—selected using fuzzy logic and evaluated through the Residual Geometric Dilution of Precision (RGDOP) metric—is examined to minimize Geometric Dilution of Precision (GDOP). The fuzzy system uses two inputs (RGDOP and elevation angle), where RGDOP is modeled with four Gaussian membership functions (very small, small, medium, large), and the elevation angle is modeled with three triangular membership functions (small, medium, large). These scenarios are tested on a Software-Defined Radio (SDR) and then a u‑blox M8 receiver to evaluate and compare improvements in positioning accuracy across the tuned configurations. The results show that both optimization stages lead to significant gains in navigation performance. The first scenario leads to a 24.4% improvement in accuracy, while the second scenario achieves an even greater enhancement of 54.9%, highlighting the effectiveness of these approaches in reducing positioning error.
Keywords: GLONASS, Signal Modeling, Elevation, GDOP Optimization, Satellite Constellation Design, Fuzzy Weighted Logic, GNSS Simulation.
Full-Text [PDF 1086 kb]   (10 Downloads)    
Type of Study: Research Paper | Subject: Signal Processing
Received: 2025/10/18 | Revised: 2026/05/29 | Accepted: 2026/02/19
Rights and permissions
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.