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Experiments for Leveled RFID Localization for Indoor Stationary Objects

机译:室内固定物体的水平RFID定位实验

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Based on the multiple power leveled passive RFID system Chan and Zhang [21] proposed, there are three innovative indoor localization algorithms, namely the leveled nearest-neighbor, leveled multilateration and leveled Bayesian inference, to locate stationary objects. In order to examine these algorithms in a realistic circumstance, we carry out experiments in a laboratory environment. The hardware of the RFID system in use is the Alien Technology development kit. The experimental results are consistent with the outcomes from the computer simulations. We are able to confirm that the average localization error results for these algorithms are quite small.
机译:基于多功能电源型无源RFID系统陈和张[21]提出,有三种创新的室内定位算法,即级别的最近邻居,水平的多边和升级的贝叶斯推断,找到静止物体。为了在实际情况下检查这些算法,我们在实验室环境中进行实验。使用中的RFID系统的硬件是外星技术开发套件。实验结果与计算机模拟的结果一致。我们能够确认这些算法的平均本地化错误结果非常小。

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