Optimized Quadratic Gaussian Framework For Real-Time Terrain-Aided Navigation Of Auvs Using Synthetic Aperture Radar
Year: 2025
Type: article
Abstract: Autonomous Underwater Vehicles (AUVs) require precise navigation solutions in environments where conventional positioning systems, such as GPS, are unavailable. To address this challenge, we propose QGOG-SAR (Quadratic Gaussian Optimized Synthetic Aperture Radar Framework), a novel methodology for real-time terrain-aided navigation. The framework integrates a quadratic Gaussian optimization strategy with synthetic aperture radar (SAR) processing to enhance phase unwrapping accuracy and Digital Elevation Model (DEM) fusion. By incorporating adaptive Gaussian modeling, QGOG-SAR mitigates noise sensitivity, reduces phase ambiguities, and improves feature extraction from complex seabed terrains. Simulation experiments conducted in MATLAB demonstrate that the proposed framework significantly outperforms conventional SAR-based techniques in terms of navigation accuracy, robustness, and computational efficiency. The results confirm that QGOG-SAR provides a reliable and scalable solution for real-time underwater terrain navigation, offering strong potential for applications in exploration, defense, and environmental monitoring.
DOI: 10.64252/hs4fgp08
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4414415213
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