基于改进椭圆权重模型的无线层析定位方法
Radio Tomographic Imaging Based on Improved Ellipse Weight Model
DOI: 10.12677/HJWC.2018.83011, PDF,  被引量    国家自然科学基金支持
作者: 许桁宽, 于坤良：江苏省光电技术重点实验室，江苏 南京；柯 炜：江苏省地理信息资源开发与利用协同创新中心，江苏 南京
关键词: 免携带设备定位；射频层析成像；菲涅耳衍射理论；Device-Free Localization； Radio Tomographic Imaging； Fresnel Diffraction Theory
摘要: 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。
Abstract: 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.
文章引用：许桁宽, 柯炜, 于坤良. 基于改进椭圆权重模型的无线层析定位方法[J]. 无线通信, 2018, 8(3): 97-105. https://doi.org/10.12677/HJWC.2018.83011

参考文献

[1] Youssef, M., Mah, M. and Agrawala, A. (2007) Challenges: Device-Free Passive Localization for Wireless Environments. Proceedings of the 13th annual ACM International Conference on Mobile Computing and Networking, Montréal, 9-14 September 2007, 222-229.
[Google Scholar] [CrossRef] 
[2] Wilson, J. and Patwari, N. (2010) RF Sensor Networks for Device-Free Localization: Measurements, Models, and Algorithms. Proceedings of the IEEE, 98, 1961-1973.
[Google Scholar] [CrossRef] 
[3] Tomioka, Y., Takara, A. and Kitazawa, H. (2012) Generation of an Optimum Patrol Course for Mobile Surveillance Camera. IEEE Trans. Circuits and Systems for Video Technology, 22, 216-224.
[Google Scholar] [CrossRef] 
[4] McCracken, M., Bocca, M. and Patwari, N. (2013) Joint Ultra-Wideband and Signal Strength-Based Through-Building Tracking for Tactical Operations. Proceedings of the IEEE International Conference on Sensing, Communications and Networking, New Orleans, 24-27 June 2013, 309-317.
[Google Scholar] [CrossRef] 
[5] Kim, S.J. and Kim, B.K. (2011) Accurate Hybrid Global Self-Localization Algorithm for Indoor Mobile Robots with Two-Dimensional Isotropic Ultrasonic Receivers. IEEE Transactions on Instrumentation and Measurement, 60, 3391-3404.
[Google Scholar] [CrossRef] 
[6] Savazzi, S., Sigg, S., Nicoli, M., Rampa, V., Kianoush, S. and Spagnolini, U. (2016) Device-Free Radio Vision for Assisted Living. IEEE Signal Processing Magazine, 33, 45-58.
[Google Scholar] [CrossRef] 
[7] Sabek, I., Youssef, M. and Vasilakos, A.V. (2015) ACE: An Accurate and Efficient Multi-Entity Device-Free WLAN Localization System. IEEE Transactions on Mobile Computing, 14, 261-273.
[Google Scholar] [CrossRef] 
[8] Xiao, J., Wu, K., Yi, Y., Wang, L. and Ni, L.M. (2013) Pilot: Passive De-vice-Free Indoor Localization Using Channel State Information. 2013 IEEE 33rd International Conference on Distributed Computing Systems, Philadelphia, 8-11 July 2013, 236-245.
[Google Scholar] [CrossRef] 
[9] Wilson, J. and Patwari, N. (2010) Radio Tomographic Imaging with Wireless Networks. IEEE Transactions on Mobile Computing, 9, 621-632.
[Google Scholar] [CrossRef] 
[10] Wilson, J. and Patwari, N. (2011) See-Through Walls: Motion Tracking Using Variance-Based Radio Tomography Networks. IEEE Transactions on Mobile Computing, 10, 612-621.
[Google Scholar] [CrossRef] 
[11] Zhang, D., Liu, Y., Guo, X., et al. (2013) Rass: A Real-Time, Accurate, and Scal-able System for Tracking Transceiver-Free Objects. IEEE Transactions on Parallel and Distributed Systems, 24, 996-1008.
[Google Scholar] [CrossRef] 
[12] Talampas, M.C.R. and Low, K.S. (2016) A Geometric Filter Algorithm for Robust Device-Free Localization in Wireless Networks. IEEE Transactions on Industrial Informatics, 12, 1670-1678.
[Google Scholar] [CrossRef] 
[13] Hamilton, B.R., Ma, X., Baxley, R.J., et al. (2014) Propagation Modeling for Radio Frequency Tomography in Wireless Networks. IEEE Journal of Selected Topics in Signal Process, 8, 55-65.
[Google Scholar] [CrossRef] 
[14] Wang, J., Gao, Q., Pan, M., et al. (2016) Toward Accurate Device-Free Wireless Localization With a Saddle Surface Model. IEEE Transactions on Vehicular Technology, 65, 6665-6677.
[Google Scholar] [CrossRef] 
[15] 刘凯, 夏然, 柴柯. 结合菲涅尔理论的免携带设备定位研究[J]. 传感技术学报, 2015, 28(2): 297-302.
[16] Wang, Z., Liu, H., Xu, S., et al. (2015) A Diffraction Measurement Model and Particle Filter Tracking Method for RSS-Based DFL. IEEE Journal on Selected Areas in Communications, 33, 2391-2403.
[Google Scholar] [CrossRef] 
[17] Rappaport, T.S. (1999) Wireless Communication: Principles and Practice. Prentice-Hall, Englewood Cliffs, NJ.
[18] Athanasiadou, G.E. (2007) Incorporating the Fresnel Zone Theory in Ray Tracing for Propagation Modelling of Fixed Wireless Access Channels. IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, 3-7 September 2007, 1-5.
[Google Scholar] [CrossRef]