基于非度量多维标度的室内多标签协同定位算法

与有源标签相比，无源RFID标签成本较小，本文选取后者作为待定位标签。但是由于无源RFID标签之间无法通信，目前大多数传统的RFID定位算法一次只能定位一个标签而无法实现多标签同时定位。针对这一问题，提出了基于非度量多维标度(NMDS)的室内RFID多标签协同定位算法。利用到达相位差(PDOA)法拟合在多径存在环境下的测距误差，将待定位标签之间的距离差欧氏距离与非度量多维标度算法结合，计算出待定位标签的位置坐标。仿真结果表明，提出的算法可以通过一次非度量多维标度计算得到所有待定位标签的坐标，同时定位精度高于经典多维标度定位算法和传统三边定位算法。

Indoor Multi-tag Cooperative Localization Algorithm Based On Non-metric Multidimensional Scale

The paper selected the passive RFID tag as the target whose cost is less than the active tag. However, due to the lack of communication between the RFID tags, most of the traditional RFID localization algorithm can only locate one tag at one time and cannot achieve multi-tag simultaneous positioning. To solve this problem, this paper proposed an indoor multi-tag cooperative localization algorithm based on non-metric multidimensional scaling (NMDS). The paper used phase difference of arrive (PDOA) method fitting the ranging error in multipath environment. Then calculate the location coordinates of target tags by combining the distance-difference-based Euclidean distance and the non-metric multidimensional scale algorithm. Simulation results show that our proposed algorithm can not only achieve multi-tag localization through one non-metric multidimensional scale calculation, but also having higher localization accuracy than classical multidimensional scale localization algorithm and traditional trilateration localization algorithm.