This thesis introduces a novel localization algorithm that leverages multiple smart antenna-equipped anchors to optimize both accuracy and coverage in wireless localization systems. The proposed methodology integrates well-established techniques from the literature, specifically the Bilateration method and the Adant Algorithm, to exploit their synergistic strengths. By employing a network of strategically positioned anchors, the algorithm addresses the challenges of minimizing anchor count while maximizing spatial coverage and positional accuracy. Experimental results indicate that the Bilateration method significantly enhances localization accuracy in regions where multiple anchors provide overlapping coverage. This improvement underscores the potential of combining multiple methodologies to achieve robust and efficient localization. Ultimately, the findings of this study demonstrate that the integration of these techniques enables the realization of maximum coverage and accuracy with a minimal number of anchors, contributing to the advancement of efficient and scalable localization solutions.
This thesis introduces a novel localization algorithm that leverages multiple smart antenna-equipped anchors to optimize both accuracy and coverage in wireless localization systems. The proposed methodology integrates well-established techniques from the literature, specifically the Bilateration method and the Adant Algorithm, to exploit their synergistic strengths. By employing a network of strategically positioned anchors, the algorithm addresses the challenges of minimizing anchor count while maximizing spatial coverage and positional accuracy. Experimental results indicate that the Bilateration method significantly enhances localization accuracy in regions where multiple anchors provide overlapping coverage. This improvement underscores the potential of combining multiple methodologies to achieve robust and efficient localization. Ultimately, the findings of this study demonstrate that the integration of these techniques enables the realization of maximum coverage and accuracy with a minimal number of anchors, contributing to the advancement of efficient and scalable localization solutions.
Sviluppo e validazione di algoritmi per la gestione di smart antenna in sistemi di localizzazione UWB.
BICICI, ALI ENES
2024/2025
Abstract
This thesis introduces a novel localization algorithm that leverages multiple smart antenna-equipped anchors to optimize both accuracy and coverage in wireless localization systems. The proposed methodology integrates well-established techniques from the literature, specifically the Bilateration method and the Adant Algorithm, to exploit their synergistic strengths. By employing a network of strategically positioned anchors, the algorithm addresses the challenges of minimizing anchor count while maximizing spatial coverage and positional accuracy. Experimental results indicate that the Bilateration method significantly enhances localization accuracy in regions where multiple anchors provide overlapping coverage. This improvement underscores the potential of combining multiple methodologies to achieve robust and efficient localization. Ultimately, the findings of this study demonstrate that the integration of these techniques enables the realization of maximum coverage and accuracy with a minimal number of anchors, contributing to the advancement of efficient and scalable localization solutions.| File | Dimensione | Formato | |
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Ali_Enes_Bicici_Thesis.pdf
embargo fino al 04/03/2028
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6.89 MB
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6.89 MB | Adobe PDF |
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https://hdl.handle.net/20.500.12608/82329