Through-Wall Motion Tracking Using Variance-Based Radio Tomography Networks
Through-Wall Motion Tracking Using Variance-Based Radio Tomography Networks
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发表时间：
2009
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通讯作者：
Joey Wilson;Neal Patwari
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作者：
Joey Wilson;Neal Patwari
本文提出了一种新的方法，用于成像，定位和跟踪运动背后的墙壁实时。该方法利用了在无线对等网络中进行的接收信号强度测量的运动引起的方差。使用多径信道模型，我们表明，无线链路上的信号强度在很大程度上取决于多径分量中所包含的功率，通过空间包含移动物体。提出了一种与运动的空间位置方差相关的统计模型，并将其用作运动图像估计的框架。从运动图像中，卡尔曼滤波器被应用于递归地跟踪运动目标的坐标。一个34节点的穿墙成像和跟踪系统超过780平方英尺的面积的实验结果。
This paper presents a new method for imaging, localizing, and tracking motion behind walls in real-time. The method takes advantage of the motion-induced variance of received signal strength measurements made in a wireless peerto-peer network. Using a multipath channel model, we show that the signal strength on a wireless link is largely dependent on the power contained in multipath components that travel through space containing moving objects. A statistical model relating variance to spatial locations of movement is presented and used as a framework for the estimation of a motion image. From the motion image, the Kalman filter is applied to recursively track the coordinates of a moving target. Experimental results for a 34-node through-wall imaging and tracking system over a 780 square foot area are presented.