计算机科学 ›› 2020, Vol. 47 ›› Issue (9): 252-257.doi: 10.11896/jsjkx.200400038
所属专题: 物联网技术 虚拟专题
徐鹤1,2, 吴满星1, 李鹏1,2
XU He1,2, WU Man-xing1, LI Peng1,2
摘要: 针对室内场景中存在获取目标对象相对位置的需求,RFID(Radio Frequency Identification)因其轻便、成本低的特点成为最经济的解决方案之一。通过研究基于相位和时间序列预测模型ARIMA来解决目标相对位置定位的问题,提出了基于UHF(Ultra-High Frequency) RFID无源标签的室内相对位置定位算法。使用RFID无源标签、阅读器和移动RFID天线来获取相位的变化,选取天线移动过程中一个相位翻转周期的时间序列值,运用ARIMA模型对该时间序列后续值进行预测,并选择达到某些值的时间戳,给预测时间戳和相位变化过程中关键相位点的时间戳分配权重,得到最终的时间戳并进行相对位置排序。实验结果表明,提出的RFID室内相对位置定位算法在图书馆环境下对图书顺序侦测的识别准确率可以达到96.48%,与经典的STPP算法和HMRL算法相比具有更好的定位性能。
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