基于ARIMA模型的RFID室内相对位置定位算法

RFID Indoor Relative Position Positioning Algorithm Based on ARIMA Model

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。

For indoor positioning scenarios,there is often a need to obtain the order in which certain items are placed.RFID(Radio Frequency Identification)is one of the solutions that can be selected because of its light weight and low cost.To solve the problem of relative positioning of items by studying the ARIMA based on the phase and time series prediction model,this paper proposes an indoor relative position positioning algorithm based on UHF(Ultra-High Frequency)RFID tags.By using passive RFID tags and readers,moving the RFID antenna to obtain the phase value,the ARIMA model is used to predict the sequence of the phase change during the movement of the antenna,the time series is predicted to reach a certain time stamp,and then the prediction time is given.The weights are assigned to the time stamps of some special phase points in the process of stamping and phase change,and the final time stamps are obtained to sort relative positions.Experiments show that this RFID indoor relative position positioning system can achieve recognition accuracy rate by 96.67%for book sequence detection in a library environment.Compared with the classical STPP algorithm and HMRL algorithm,its performance is greatly improved.