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1. 南通科技职业学院机电与交通工程学院,江苏 南通 226007
2. 南京师范大学物理科学与技术学院江苏省光电技术重点实验室,江苏 南京 210023
3. 江苏省地理信息资源开发与利用协同创新中心,江苏 南京 210023
[ "李莉(1979−)女,江苏南通人,南通科技职业学院讲师,主要研究方向为无线传感网与无线定位。" ]
[ "柯炜(1976−),男,江苏南通人,博士,南京师范大学副教授,主要研究方向为无线定位、稀疏信号处理和无线传感网。" ]
[ "许桁宽(1996−),男,江苏无锡人,主要研究方向为无线定位。" ]
[ "于坤良(1996−),男,江苏徐州人,主要研究方向为无线定位。" ]
[ "王彦力(1995−),男,安徽池州人,南京师范大学硕士生,主要研究方向为无线定位。" ]
网络出版日期:2018-12,
纸质出版日期:2018-12-25
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李莉, 柯炜, 许桁宽, 等. 基于改进椭圆权重模型的射频层析成像定位方法[J]. 通信学报, 2018,39(12):167-174.
Li LI, Wei KE, Hengkuan XU, et al. Radio tomographic imaging localization method based on the improved ellipse weight model[J]. Journal on communications, 2018, 39(12): 167-174.
李莉, 柯炜, 许桁宽, 等. 基于改进椭圆权重模型的射频层析成像定位方法[J]. 通信学报, 2018,39(12):167-174. DOI: 10.11959/j.issn.1000−436x.2018290.
Li LI, Wei KE, Hengkuan XU, et al. Radio tomographic imaging localization method based on the improved ellipse weight model[J]. Journal on communications, 2018, 39(12): 167-174. DOI: 10.11959/j.issn.1000−436x.2018290.
射频层析成像(RTI
radio tomographic imaging)技术作为免携带设备定位(DFL
device-free localization)的主要方式之一,在被定位目标不携带任何定位装置的情况下仍能实现定位,具有广泛的应用前景。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一种改进的椭圆阴影权重模型来提高RTI成像质量,并论证了这种方法的可行性;同时为了克服背景噪点以及伪目标图像的影响,在此基础上提出基于十字模型的前景提取算法,进一步提高RTI定位性能。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。
As one of the main methods of device free localization (DFL)
the radio tomographic imaging (RTI) method that can locate a target without attaching any devices has wide application prospects. To overcome the shortcoming of the existing ellipse weight model
based on the Fresnel diffraction theory an improved ellipse weight model was proposed to enhance the imaging quality of RTI and demonstrates the feasibility of this model. Meanwhile
a foreground detection algorithm based on the cross model was proposed to reduce the impact of background noises and pseudo-targets
thereby further improving the imaging quality. The indoor and outdoor experimental results verify that the imaging quality and the positioning accuracy of the proposed method are better than the existing RTI methods.
YOUSSEF M , MAH M , AGRAWALA A . Challenges: device-free passive localization for wireless environments [C ] // Proceedings of the 13th annual ACM international conference on Mobile Computing and Networking.ACM . 2007 : 222 - 229 .
WILSON J , PATWARI N . RF sensor networks for device-free localization: measurements, models, and algorithms [J ] . Proceedings of the IEEE , 2010 , 98 ( 11 ): 1961 - 1973 .
TOMIOKA Y , TAKARA A , KITAZAWA H . Generation of an optimum patrol course for mobile surveillance camera [J ] . IEEE Transactions on Circuits and Systems for Video Technology , 2012 , 22 ( 2 ): 216 - 224 .
MCCRACKEN M , BOCCA M , PATWARI N . Joint ultra-wideband and signal strength-based through-building tracking for tactical operations [C ] // Proceedings of the IEEE International Conference on Sensing, Communications and Networking. IEEE . 2013 : 309 - 317 .
KIM S J , KIM B K . Accurate hybrid global self-localization algorithm for indoor mobile robots with two-dimensional isotropic ultrasonic receivers [J ] . IEEE Transactions on Instrumentation and Measurement , 2011 , 60 ( 10 ): 3391 - 3404 .
SAVAZZI S , SIGGS , NICOLI M , et al . Device-free radio vision for assisted living [J ] . IEEE Signal Processing Magazine , 2016 , 33 ( 2 ): 45 - 58 .
SABEK I , YOUSSEF M , VASILAKOS A V . Ace: an accurate and efficient multi-entity device-free wlan localization system [J ] . IEEE Transactions on Mobile Computing , 2015 , 14 ( 2 ): 261 - 273 .
XIAO J , WU K , YI Y , et al . Pilot: passive device-free indoor localization using channel state information [C ] // Proceedings of the 33th International Conference on Distributed Computing Systems . 2013 :pp. 236 - 245 .
WILSON J , PATWARI N . Radio tomographic imaging with wireless networks [J ] . IEEE Transactions on Mobile Computing , 2010 , 9 ( 5 ): 621 - 632 .
KALTIOKALLIO O , JANTTI R , PATWARI N . Arti: an adaptive radio tomographic imaging system [J ] . IEEE Transactions on Vehicular Technology , 2017 , 66 ( 8 ): 7302 - 7316 .
ZHANG D , LIU Y , GUO X , et al . RASS: a real-time, accurate, and scalable system for tracking transceiver-free objects [J ] . IEEE Transactions on Parallel Distributed Systems . 2013 , 24 ( 5 ): 996 - 1008 .
TALAMPAS M , LOW K S . A geometric filter algorithm for robust device-free localization in wireless networks [J ] . IEEE Transactions on Industrial Informatics . 2016 , 12 ( 5 ): 1670 - 1678 .
HAMILTON B R , MA X , BAXLEY R J , et al . Propagation modeling for radio frequency tomography in wireless networks [J ] . IEEE Journal of Selected Topics in Signal Processing . 2014 , 8 ( 1 ): 55 - 65 .
WANG J , GAO Q , PAN M , et al . Toward accurate device-free wireless localization with a saddle surface model [J ] . IEEE Transactions on Vehicular Technology . 2016 , 65 ( 8 ): 6665 - 6677 .
SAVAZZI S , NICOLI M , CARMINATI F , et al . A bayesian approach to device-free localization: Modeling and experimental assessment [J ] . IEEE Journal of Selected Topics in Signal Processing . 2014 , 8 ( 1 ): 16 - 29 .
WANG Z , LIU H , XU S , et al . A diffraction measurement model and particle filter tracking method for RSS-based DFL [J ] . IEEE Journal on Selected Areas in Communications . 2015 , 33 ( 11 ): 2391 - 2403 .
RAPPAPORT T S . Wireless communication: principles and practice [M ] . New Jersey : Prentice-Hall , 1999 .
ATHANASIADOU G E . Incorporating the fresnel zone theory in ray tracing for propagation modelling of fixed wireless access channels [C ] // 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications . 2007 : 1 - 5 .
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