A RSS-based localization method using HMM-based error correction

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2018-10-02 DOI:10.1080/17489725.2018.1535140

Ahmad Alabadleh, Saqer Aljaafreh, A. Aljaafreh, K. Alawasa

引用次数: 12

Abstract

ABSTRACT Indoor localization and tracking systems are harvesting more attention from the researchers. Recently, several approaches for localization systems have been proposed that use the sensors which are available on smartphones. In this paper, a new filtering approach based on Hidden Markov Model (HMM) techniques to enhance the accuracy of the localization system is presented. The proposed approach filtered out the undesirable Received Signal Strength (RSS) values which affect the accuracy of the system using the hidden states. The proposed approach helps in the direction and the distance estimation. The results of the proposed approach show a significant improvement in terms of distance estimation and the filtering of the RSS values.

查看原文本刊更多论文

基于HMM纠错的RSS定位方法

摘要室内定位和跟踪系统越来越受到研究者的关注。最近，已经提出了几种使用智能手机上可用的传感器的定位系统的方法。本文提出了一种新的基于隐马尔可夫模型（HMM）技术的滤波方法，以提高定位系统的精度。所提出的方法使用隐藏状态过滤掉了影响系统精度的不期望的接收信号强度（RSS）值。所提出的方法有助于方向和距离估计。所提出的方法的结果在距离估计和RSS值的滤波方面显示出显著的改进。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.