Finding Near-Optimal Regularization Parameter for Indoor Device-free Localization
| Autor: | Konstantin Chomu, Liljana Gavrilovska, Vladimir Atanasovski |
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| Rok vydání: | 2016 |
| Předmět: |
Mathematical optimization
Computer science business.industry 020206 networking & telecommunications 02 engineering and technology Sun SPOT 01 natural sciences Regularization (mathematics) Computer Science Applications 010104 statistics & probability Radio propagation 0202 electrical engineering electronic engineering information engineering Wireless 0101 mathematics Electrical and Electronic Engineering business Wireless sensor network Algorithm |
| Zdroj: | Wireless Personal Communications. 92:197-220 |
| ISSN: | 1572-834X 0929-6212 |
| DOI: | 10.1007/s11277-016-3846-z |
| Popis: | Device-free Localization (DfL) systems offer real-time indoor localization of people without any electronic devices attached on their bodies. The human body influences the radio wave propagation between wireless links and changes the Received Signal Strength (RSS). Wireless Sensor Networks (WSNs) nodes easily measure these RSS changes and appropriate Radio Tomographic Imaging (RTI) algorithms can then process the RSS data and allow human localization. This paper investigates how to choose near-optimal regularization parameter during the regularization process for indoor DfL and describes an experimental indoor DfL setup realized with a Sun SPOT based WSN. The work elaborates on the numerical calculation of the near-optimal regularization parameter by usage of the trade-off curve criterion. The calculated parameter enables conclusive RTI image with sufficient localization precision for eHealth or other ambient-assisted-living applications where the error tolerance is at a scale of several tens of centimeters. The value for the regularization parameter matches the empirical derived value obtained in the authors'previous work. |
| Databáze: | OpenAIRE |
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