RSS-based channel measurements and their influence on localization in RFID applications

2013 IEEE International Symposium on Consumer Electronics (ISCE) Pub Date : 2013-06-03 DOI:10.1109/ISCE.2013.6570258

Theresa Nick, G. Smietanka, J. Götze

引用次数: 5

Abstract

Radio Frequency Identification (RFID) is a valid choice to achieve indoor localization simultaneously to the identification of objects. Measurements of Received Signal Strength (RSS) values show a higher variance for larger distances between tag and reader antenna. Therefore using a variable measurement noise in the localization algorithm is proposed. For the Constrained Unscented Kalman Filter (CUKF) the localization error is reduced by about 10%.

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基于rss的信道测量及其对RFID应用中定位的影响

无线射频识别(RFID)是实现室内定位与物体识别同时进行的有效选择。接收信号强度(RSS)值的测量显示，标签和阅读器天线之间的距离越大，方差越大。为此，提出了一种采用可变测量噪声的定位算法。对于约束无气味卡尔曼滤波器(CUKF)，定位误差降低了约10%。

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

2013 IEEE International Symposium on Consumer Electronics (ISCE)

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