An RF-Based System for Tracking Transceiver-Free Objects

Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom'07) Pub Date : 2007-03-19 DOI:10.1109/PERCOM.2007.8

Dian Zhang, Jian Ma, Quanbin Chen, L. Ni

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引用次数: 265

Abstract

In traditional radio-based localization methods, the target object has to carry a transmitter (e.g., active RFID), a receiver (e.g., 802.11x detector), or a transceiver (e.g., sensor node). However, in some applications, such as safe guard systems, it is not possible to meet this precondition. In this paper, we propose a model of signal dynamics to allow tracking of transceiver-free objects. Based on radio signal strength indicator (RSSI), which is readily available in wireless communication, three tracking algorithms are proposed to eliminate noise behaviors and improve accuracy. The midpoint and intersection algorithms can be applied to track a single object without calibration, while the best-cover algorithm has potential to track multiple objects but requires calibration. Our experimental test-bed is a grid sensor array based on MICA2 sensor nodes. The experimental results show that the best side length between sensor nodes in the grid is 2 meters and the best-cover algorithm can reach localization accuracy to 0.99 m

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一种基于射频的无收发器目标跟踪系统

在传统的基于无线电的定位方法中，目标对象必须携带发射器(例如，有源RFID)、接收器(例如，802.11x探测器)或收发器(例如，传感器节点)。然而，在某些应用中，例如安全防护系统，不可能满足此先决条件。在本文中，我们提出了一个信号动力学模型，以允许跟踪无收发器的目标。基于无线通信中常用的无线电信号强度指示器(RSSI)，提出了三种跟踪算法来消除噪声行为，提高跟踪精度。中点和交叉点算法可用于跟踪单个目标而无需校准，而最佳覆盖算法具有跟踪多个目标但需要校准的潜力。我们的实验试验台是基于MICA2传感器节点的网格传感器阵列。实验结果表明，网格中传感器节点之间的最佳边长为2 m，最佳覆盖算法的定位精度可达0.99 m

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Fifth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom'07)

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