摘要
提出一种基于无线传感器网络(WSNs)的三维无线层析成像(RTI)定位方法,通过建立接收信号强度(RSS)阴影衰落模型和椭球权重模型来重建三维层析图像,从而获得目标的三维位置信息,为目标的三维定位提供了一种有效的算法。现场实验证明:该定位算法可行有效。
A three-dimensional(3D)wireless tomography localization method based on wireless sensor networks(WSNs)is proposed.3D tomographic image is reconstructed,by establishing the received signal strength(RSS)shadow fading model and the ellipsoid weight model,so as to position information of target obtain 3D,which provide an effective algorithm for 3D localization of target.Field experiments prove that the 3D positioning algorithm is feasible and effective.
作者
黄炳华
王满意
刘增鑫
HUANG Binghua;WANG Manyi;LIU Zengxin(School of Mechanical Engineering,Nanjing University of Science and Technology,Nanjing 210094,China;Xi’an Institute of Optics and Precision Mechanics,Chinese Academy of Science,Xi’an 710119,China)
出处
《传感器与微系统》
CSCD
2020年第5期21-23,29,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(61701237)
江苏省青年科学基金资助项目(BK20160841)。
