JOURNAL ARTICLE

Radio Tomographic Imaging Based on Improved Ellipse Weight Model

桁宽 许

Year: 2018 Journal:   Hans Journal of Wireless Communications Vol: 08 (03)Pages: 97-105

Abstract

射频层析成像(Radio Tomographic Imaging, RTI)技术作为免携带设备定位(Device-free localization, DFL)的主要方式之一,具有广泛的应用前景。本文针对现有RTI技术中椭圆权重模型的不足,基于菲涅耳衍射理论提出了新的权重模型:双层椭圆阴影权重模型,它提高了RTI成像质量,也提升了免携带设备定位的定位精度。室内外实验结果表明,该方法的成像质量和定位精度都要优于现有RTI方法。 Radio Tomographic Imaging (RTI) is one of the main methods of Device Free Localization (DFL), so it has wide application prospects. This paper proposes a double-layer ellipse weight model based on Fresnel diffraction theory to improve the imaging quality of RTI and to overcome the deficiency of the existing elliptical weight model. The indoor and outdoor experimental results verify that the positioning performance of the proposed method is better than that of the existing RTI methods.

Keywords:
Ellipse Tomographic reconstruction Geology Artificial intelligence Computed tomographic Computer science Radiology Medicine Mathematics Computed tomography Geometry Iterative reconstruction

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Citation History

Topics

Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Synthetic Aperture Radar (SAR) Applications and Techniques
Physical Sciences →  Engineering →  Aerospace Engineering
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