研究利用无线层析成像方法定位位于由传感器网络构成的区域中的目标.由于目标的遮挡而造成的阴影衰落使某些节点之间链路的接收信号强度(RSS)剧烈变化,据此建立了RSS的变化和区域内每个像素阴影衰落的线性模型;给出了线性模型的最小均方误差解;采用数据预处理方法消除不同链路阴影衰落的不平衡.实验结果表明,当用16个节点覆盖4.8m×4.8m大小的区域时,该算法对单个目标的平均定位误差仅为0.095m.
Using radio tomographic imaging method to locate the target in the area consisting by wireless sensor network is presented.Some links between nodes experience dramatic change because of shadowing loss caused by target's obstruction.Therefore,this paper illustrates the linear model relating the change of RSS to the attenuation within each pixel;gives the minimum mean square error solution for the model;uses data pre-processing method to eliminate the imbalance of shadowing loss among different links.The experimental results show that the average location error of the algorithm for a single target is only 0.095m when using 16 nodes covering the area with size of 4.8m×4.8m.