RASS: A real-time, accurate and scalable system for tracking transceiver-free objects

RASS: A real-time, accurate and scalable system for tracking transceiver-free objects
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DOI:
10.1109/tpds.2012.134
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发表时间:
2011-03
期刊:
2011 IEEE International Conference on Pervasive Computing and Communications (PerCom)
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通讯作者:
Dian Zhang;Yunhuai Liu;Xiaonan Guo;L. Ni
Dian Zhang;Yunhuai Liu;Xiaonan Guo;L. Ni
中科院分区:
其他
文献类型:
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作者:
Dian Zhang;Yunhuai Liu;Xiaonan Guo;L. Ni

文献摘要

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无收发器目标跟踪是指在预先部署有监控节点的环境中,不携带任何通信设备跟踪移动目标。在所有的跟踪技术中,基于射频的技术是一个新兴的研究领域,面临着许多挑战。虽然我们提出了最初的想法,但到目前为止,还没有一种方法可以在不牺牲延迟和准确性的情况下实现可扩展性。本文提出了一种实时跟踪系统RASS,它可以实现这一目标,并在安防系统等应用中有很好的前景。我们的基本思想是将跟踪场划分为不同的区域,相邻区域使用不同的通信信道。因此,可以防止不同区域之间的干扰。对于每个区域,在天花板上部署三个通信节点作为正三角形来监视该区域。在每个三角形区域中,我们使用支持向量回归(SVR)模型来定位对象。该模型模拟了由物体引起的信号动态与物体位置之间的关系。它不仅考虑了理想情况下由物体引起的信号动态,而且利用了它们的不规则信息。因此,它可以达到跟踪精度约1米,只需使用三个节点在一个三角形区域,每边4米。实验结果表明,所提出的RASS系统的跟踪延迟仅为0.26s左右。我们的系统可以很好地扩展到大型部署领域,而不会牺牲延迟和准确性。
Transceiver-free object tracking is to trace a moving object without carrying any communication device in an environment where the environment is pre-deployed with some monitoring nodes. Among all the tracking technologies, RF-based technology is an emerging research field facing many challenges. Although we proposed the original idea, until now there is no method achieving scalability without sacrificing latency and accuracy. In this paper, we put forward a real-time tracking system RASS, which can achieve this goal and is promising in the applications like the safeguard system. Our basic idea is to divide the tracking field into different areas, with adjacent areas using different communication channels. So the interference among different areas can be prevented. For each area, three communicating nodes are deployed on the ceiling as a regular triangle to monitor this area. In each triangle area, we use a Support Vector Regression (SVR) model to locate the object. This model simulates the relationship between the signal dynamics caused by the object and the object position. It not only considers the ideal case of signal dynamics caused by the object, but also utilizes their irregular information. As a result it can reach the tracking accuracy to around 1m by just using three nodes in a triangle area with 4m in each side. The experiments show that the tracking latency of the proposed RASS system is bounded by only about 0.26s. Our system scales well to a large deployment field without sacrificing the latency and accuracy.