Particle filter-assisted positioning method for identifying RFID-tag implanted in the organism

Gen Imai, Katsushi Matsuda, Hiromi Takahata, M. Okada
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Abstract

This paper proposes a three-dimensional positioning method using particle filter for identifying a miniature RFID (Radio Frequency Identification) tag implanted in the organism. The RFID-based tumor marker for identifying the position and size of the tumor has been proposed. Although it is efficient in some applications, it takes a long time to point out the position because of scanning the sensor antenna for wide area of interest. Furthermore, the position is often lost due to motion of the organism. In order to find and track the RFID-tag position, this paper introduces a particle filter-assisted three-dimensional positioning method. The likelihood function, which is not only take into account the received signal power, but also the attitude and position of the sensor antenna and the motion of the RFID-tag, is applied to the particle filter to estimate the position. Computer simulation result shows that the proposed scheme is capable of estimating the three-dimensional position of the RFID-tag.
用于识别植入生物体内的rfid标签的粒子滤波辅助定位方法
提出了一种基于粒子滤波的三维定位方法,用于识别植入生物体内的微型射频识别(RFID)标签。已经提出了基于rfid的肿瘤标记物,用于识别肿瘤的位置和大小。虽然它在某些应用中是有效的,但由于扫描传感器天线的兴趣范围很广,需要很长时间才能指出位置。此外,由于生物体的运动,位置经常丢失。为了寻找和跟踪rfid标签的位置,本文介绍了一种粒子滤波辅助的三维定位方法。将似然函数应用于粒子滤波中进行位置估计,该似然函数不仅考虑了接收到的信号功率,而且考虑了传感器天线的姿态和位置以及rfid标签的运动。计算机仿真结果表明,该方案能够估计出rfid标签的三维位置。
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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