为了改进经典的多维标度测量(MDS)定位法中一次测量一次定位的精度不高的缺陷,提出一种新的动态MDS虚拟阵定位算法,该算法简单,计算量小,便于实时处理。仿真结果显示在虚拟测量次数多于4次时,该算法性能明显优于Chan+虚拟阵定位算法及经典的MDS定位法,并且虚拟次数越多,该算法的性能越好。经典的MDS定位法相当于测量次数为1的无虚拟时的该文算法。
A dynamic multi-dimensional scaling (MDS) algorithm is presented by modifying the classical MDS which uses instantaneous measurement for each location. The proposed algorithm is simple and computationally efficient and therefore allows real-time processing. It performs better when the number of measurement is more than four. Classical MDS is equal to the proposed algorithm when the number of measurement is only one.