Abstract / truncated to 115 words (read the full abstract)

This thesis presents a robust and accurate positioning system that, like the visual brain, adapts its behavior to the surrounding environment by filtering out clutter and focusing on relevant activity and information. In indoor environments, which are characterized by harsh multipath propagation, achieving the necessary level of accuracy while meeting reasonable infrastructural needs remains challenging. In such environments, it is essential to distinguish relevant information from irrelevant information and develop an appropriate uncertainty model for positioning measurements. This thesis aims to achieve this objective by incorporating four basic principles of human cognition—the perception-action cycle (PAC), memory, attention, and intelligence—into positioning systems. To incorporate these principles, multipath-assisted indoor navigation and tracking (MINT) concepts are integrated with ... toggle 5 keywords

simultaneous localization and mapping – radio channel modeling – multipath-based positioning and tracking – cramer-rao lower bound – cognitive control

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