Author(s): Carlos Fernández and Ana Fernández

Abstract: The Global Navigation Satellite System (GNSS) has become an essential tool for precise positioning and navigation across various industries, including transportation, agriculture, and urban planning. However, GNSS positioning accuracy can be significantly degraded by surface occlusions such as buildings, trees, and other obstructions that block or reflect satellite signals. This review article examines the development and validation of surface occlusion models to enhance GNSS positioning accuracy. We analyze existing literature on occlusion modeling techniques, their application in urban environments, and the challenges involved in integrating these models with GNSS data. Furthermore, the review highlights the advancements in software and hardware solutions designed to mitigate the impact of surface occlusions and improve overall positioning accuracy.

Pages: 12-15 | Views: 112 | Downloads: 28

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