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Proceedings Paper

Indoor wireless source localization based on area constraints
Author(s): Mohamed Shoeb; Fauzia Ahmad; Moeness Amin
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Paper Abstract

This paper deals with indoor source localization using multiple receivers. Unlike outdoor environment, indoor sources have restricted motion and move in partially or fully known indoor settings, including rooms and hallways. The source could be a robot or unmanned ground vehicle. The source could emit a wireless transmission of thermal, chemical or biological hazard event. In this paper, inequality geometric constraints are developed and applied to help improve localization estimates based on Trilateration for indoor environments. The constraints, which can be applied to outdoor environments as well, restrict the source position estimate from existing in certain regions that are labeled invalid and consistent with the building layout and blue prints. Simulations are conducted to demonstrate the advantage of subjecting the optimization problem to the developed constraints, which is particularly notable as the range error variance increases.

Paper Details

Date Published: 12 May 2006
PDF: 12 pages
Proc. SPIE 6248, Wireless Sensing and Processing, 62480X (12 May 2006); doi: 10.1117/12.669562
Show Author Affiliations
Mohamed Shoeb, Villanova Univ. (United States)
Fauzia Ahmad, Villanova Univ. (United States)
Moeness Amin, Villanova Univ. (United States)

Published in SPIE Proceedings Vol. 6248:
Wireless Sensing and Processing
Raghuveer M. Rao; Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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