多维标度
欧几里德距离
公制(单位)
计算机科学
缩放比例
欧几里德几何
节点(物理)
扩展(谓词逻辑)
算法
欧几里德距离矩阵
数学
拓扑(电路)
人工智能
几何学
组合数学
物理
机器学习
量子力学
经济
运营管理
程序设计语言
作者
Giuseppe Abreu,Giuseppe Destino
标识
DOI:10.1109/wcnc.2007.807
摘要
We consider the simultaneous localization of multiple sources from distance and angle information. An extension of the multidimensional scaling (MDS) technique is given, which allows for both distance and angle information to be processed algebraically (without iteration) and simultaneously. Simulations demonstrate the superiority the super MDS algorithm compared to conventional metric MDS, which relies only on Euclidean distances, and illustrate the impact that angle information may have on the accuracy of source localization. An advantage of the method is that localization under an absolute coordinate system is achievable with knowledge of the coordinates of a single node.
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