射频指纹识别在室外环境中的定位:最新进展和挑战

Deren Dogan, Y. Dalveren, A. Kara
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引用次数: 0

摘要

在室外环境中定位排放源的需求大幅增长,导致了各种定位方法的快速发展。其中,射频指纹(RFF)定位由于其独特的优势而成为最有前途的方法之一,这是近年来机器学习技术发展的结果。在这篇简短的综述中,旨在评估文献中现有的户外定位RFF方法。为此,首先综述了室外环境下RFF定位方法的研究现状。然后,重点分析了RFF定位发展中面临的主要研究挑战。随后对尚未解决的问题进行了简要的讨论,以便给出未来的研究方向。此外,简要介绍了作者目前所进行的研究工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Mini-Review on Radio Frequency Fingerprinting Localization in Outdoor Environments: Recent Advances and Challenges
A considerable growth in demand for locating the source of emissions in outdoor environments has led to the rapid development of various localization methods. Among these, RF fingerprinting (RFF) localization has become one of the most promising method due to its unique advantages resulted from the recent developments in machine learning techniques. In this short review, it is aimed to assess the existing RFF methods in the literature for outdoor localization. For this purpose, firstly, the current state of RFF localization methods in outdoor environments are overviewed. Then, the main research challenges in the development of RFF localization are highlighted. This is followed by a brief discussion on the open issues in order to give future research directions. Furthermore, the research efforts currently undertaken by the authors are briefly addressed.
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