Hybrid Wireless Localization via Complex-domain Isometric Embedding

G. Abreu, Alireza Ghods
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Abstract

We revisit the super multidimensional scaling (SMDS) wireless localization algorithm first proposed a decade ago, recasting it onto the complex-domain1. Under this new formulation, the edge kernel which carries both angle and distance information simultaneously and plays a central role in the SMDS algorithm, becomes a complex-valued rank-one matrix, resulting in a new complex-domain SMDS framework which yields several advantages over the original, including the elimination of redundancy and the enhancement of conditions to handle information erasure.
基于复域等距嵌入的混合无线定位
我们回顾了十年前首次提出的超多维缩放(SMDS)无线定位算法,并将其重新映射到complex-domain1上。在此框架下,在SMDS算法中起核心作用的同时携带角度和距离信息的边缘核变成复值秩一矩阵,从而形成了一种新的复杂域SMDS框架,该框架具有消除冗余和增强处理信息擦除条件等优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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