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RFID-Based WIMEC-LANDMARC Indoor Location Algorithm

机译:基于RFID的WIMEC-LANDMARC室内位置算法

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摘要

In view of the low positioning accuracy caused by the multi-path effect of Location Identification Based on Dynamic Active RFID Calibration(LANDMARC) system and the existing factors that affects the stability of the system, an RFID-Based LANDMARC indoor positioning optimization algorithm, namely Weigth Improverment and Mean Error Correction(WIMEC-LANDMARC), is proposed. The accuracy of the positioning system is improved by means of the average error correction, that is, the LANDMARC algorithm is adopted to locate the neighbor reference tags, and the average error is obtained to correct the initial position of the target to be measured and reduce the error of the positioning result. By improving the formula of reference tags' weight, the system outliers are eliminated and the stability of the positioning system is improved when Euclidean distance is zero. The experimental results show that the WIMEC-LAND MARC algorithm can effectively reduce the error of the target to be measured and eliminate the outliers, thus achieving the effect of improving the accuracy and stability of LANDMARC indoor positioning algorithm.
机译:鉴于基于动态有源RFID校准(LANDMARC)系统的位置识别的多路径效应引起的低定位精度以及影响系统稳定性的现有因素,基于RFID的Landmarc室内定位优化算法,即提出了Weigth Emproverment and Mean Error Correction(Wimec-Landmarc)。通过平均误差校正改善定位系统的精度,即采用LandMarc算法来定位邻居参考标签,并且获得平均误差以校正要测量和减少目标的初始位置定位结果的错误。通过改善参考标签的重量的公式,消除了系统异常值,并且当欧几里德距离为零时,将改善定位系统的稳定性。实验结果表明,WiMec-Land Marc算法可以有效地降低要测量的目标的误差并消除异常值,从而实现了提高LandMarc室内定位算法的准确性和稳定性的效果。

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