基于线性MMSE估计的改进LANDMARC改进RFID二维定位

2013 13th International Symposium on Communications and Information Technologies (ISCIT) Pub Date : 2013-10-24 DOI:10.1109/ISCIT.2013.6645837

T. Sansanayuth, Prapun Suksompong, Chalie Chareonlarpnopparut, A. Taparugssanagorn

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引用次数: 3

摘要

RFID定位使用射频识别(RFID)技术来确定物体在特定区域的位置。基于动态有源RFID校准(LANDMARC)的位置识别是一种利用有源标签和信号强度的重要技术。本文采用线性最小均方误差(LMMSE)估计来提高LANDMARC的精度。标签的类型也改为被动标签，比主动标签更小，更便宜。仿真和实验结果表明，该方法与传统的LANDMARC方法相比有显著的改进。

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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RFID 2D-localization improvement using modified LANDMARC with linear MMSE estimation

RFID localization uses Radio Frequency Identification (RFID) technology to determine object's position in a specific area. Location identification based on Dynamic Active RFID Calibration (LANDMARC) is a notable technique in which active tags and signal strengths are utilized. In this paper, Linear Minimum Mean Square Error (LMMSE) estimation is employed to improve the accuracy of LANDMARC. The type of tags is also changed to passive one which smaller and cheaper than active tags. The simulation and experimental results show significant improvement over the conventional LANDMARC approach.

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2013 13th International Symposium on Communications and Information Technologies (ISCIT)

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