The current options for wireless signal prediction in indoor scenarios generally either lack precision or require immense computational resources. Thus, a new method is proposed that attempts to consolidate the desired accuracy with an easy to implement and time efficient scheme. This work identifies and takes advantage of dominant physical qualities of indoor environments to solve indoor channel problems using a hybrid of numerical and analytical approaches. Specifically, the guiding effect of hallway structures is investigated as they allow electromagnetic fields to propagate with relatively low attenuation. Combining waveguide mode analysis and rigorous numerical techniques, the proposed prediction model computes the hallway fields in a large building floorplan both quickly
and with good accuracy in comparison to full finite-difference simulations. Signal measurement data will also be used to verify the applicability of the model.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:OTU.1807/17695 |
| Date | 22 September 2009 |
| Creators | Leung, Jackie |
| Contributors | Sarris, Costas D. |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | en_ca |
| Detected Language | English |
| Type | Thesis |
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