Finding Near-Optimal Regularization Parameter for Indoor Device-free Localization
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- 作者：Konstantin Chomu ; Vladimir Atanasovski…
- 关键词：Device ; free Localization ; Wireless Sensor Networks ; Regularization parameter
- 刊名：Wireless Personal Communications
- 出版年：2017
- 出版时间：January 2017
- 年：2017
- 卷：92
- 期：1
- 页码：197-220
- 全文大小：
- 刊物类别：Engineering
- 刊物主题：Communications Engineering, Networks; Signal,Image and Speech Processing; Computer Communication Networks;
- 出版者：Springer US
- ISSN：1572-834X
- 卷排序：92
文摘
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.