Interval Kalman filter based RFID indoor positioning
Interval Kalman filter based RFID indoor positioning
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DOI：
10.1109/ccdc.2016.7532252
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
Ning Li;Hongbin Ma;Chenguang Yang
中科院分区：
文献类型：
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作者：
Ning Li;Hongbin Ma;Chenguang Yang
射频识别（RFID）技术近年来在室内定位领域显示出巨大的潜力，在机场大厅、超市、图书馆、地下停车场等大型场所得到了广泛的应用，但室内环境的复杂性使得定位的准确性、稳定性、可靠性和抗干扰性成为一个具有挑战性的问题。本文根据响应标签的几何约束，结合目标运动信息，提出了一种基于区间卡尔曼滤波的无源RFID室内定位算法。采用区间卡尔曼滤波器对前一时刻目标位置和参考标签位置进行积分，估计当前位置。该算法的优点是采用无源标签降低了硬件成本，另一方面引入滤波算法提高了定位精度。
Radio Frequency Identification (RFID) technology has shown its potential in the field of indoor positioning in recent years, and has been widely used in large establishments such as the airport lobby, supermarkets, libraries, underground parking and so on. However, the complexity of the indoor environments make positioning a challenging problem in terms of accuracy, stability, reliability, and interference immunity. In this paper, we develop an algorithm of passive RFID indoor positioning based on interval Kalman filter, according to the geometric constraints of responding tags, combined with the target motion information. The interval Kalman filter is adopted to integrate target position of one preceding time point and reference tags position to estimate the current position. Advantage of this algorithm is to use passive tags to reduce hardware costs, and on the other hand the introduction of filtering algorithm improves the positioning accuracy.