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Sensors 2008, 8(4), 2865-2885; doi:10.3390/s8042865

Feature Extraction and Spatial Interpolation for Improved Wireless Location Sensing

1
School of Electronics, Telecommunication and Computer Engineering, Korea Aerospace University, Kyunggi-do, Korea
2
School of Surveying and Spatial Information Systems, University of New South Wales, Sydney, Australia
*
Author to whom correspondence should be addressed.
Received: 27 March 2008 / Accepted: 24 April 2008 / Published: 28 April 2008
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Abstract

This paper proposes a new methodology to improve location-sensing accuracy in wireless network environments eliminating the effects of non-line-of-sight errors. After collecting bulks of anonymous location measurements from a wireless network, the preparation stage of the proposed methodology begins. Investigating the collected location measurements in terms of signal features and geometric features, feature locations are identified. After the identification of feature locations, the non-line-of-sight error correction maps are generated. During the real-time location sensing stage, each user can request localization with a set of location measurements. With respected to the reported measurements, the pre-computed correction maps are applied. As a result, localization accuracy improves by eliminating the non-line-of-sight errors. A simulation result, assuming a typical dense urban environment, demonstrates the benefits of the proposed location sensing methodology. View Full-Text
Keywords: location; estimation; non-line-of-sight error; wireless; network. location; estimation; non-line-of-sight error; wireless; network.
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lee, H.K.; Shim, J.-Y.; Kim, H.-S.; Li, B.; Rizos, C. Feature Extraction and Spatial Interpolation for Improved Wireless Location Sensing. Sensors 2008, 8, 2865-2885.

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