NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection

NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection

In wireless sensor networks, most of the previous NLOS identification is based on error estimation model established by raw data. In this paper, we propose a method of NLOS identification named NIMQ based on multidimensional scaling (MDS) and Quasi-Accurate detection (QUAD). In this method, we first...

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Main Authors: Yuhong Zhu, Tengfei Ma, Zhijun Li, Dayang Sun, Xiaosong Sun, Xiaohui Zhao, Fengye Hu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
NLOS identification
NLOS correction
MDS
gross error
Online Access:https://ieeexplore.ieee.org/document/8672625/
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spelling doaj-f43b654176ab497c9b5893894431340b2021-03-29T22:42:24ZengIEEEIEEE Access2169-35362019-01-017539775398710.1109/ACCESS.2019.29068668672625NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate DetectionYuhong Zhu0https://orcid.org/0000-0002-6978-1138Tengfei Ma1Zhijun Li2Dayang Sun3Xiaosong Sun4Xiaohui Zhao5https://orcid.org/0000-0001-6531-5204Fengye Hu6College of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaMathematics School and Institute, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaCollege of Communication Engineering, Jilin University, Changchun, ChinaIn wireless sensor networks, most of the previous NLOS identification is based on error estimation model established by raw data. In this paper, we propose a method of NLOS identification named NIMQ based on multidimensional scaling (MDS) and Quasi-Accurate detection (QUAD). In this method, we first map NLOS information into gross error information by MDS, then we use QUAD to identify the gross errors which contain the NLOS information. This method relies only on distance measurements and is independent of the measured error estimation model. In addition, using the network topology constraints in higher dimensional space, the identified distance can be corrected by multiple iterations. Finally, an NLOS iterating correction algorithm (NICA) is proposed. Simulations show that in different scenarios our proposed NIMQ and NICA can well identify and correct NLOS measurement.https://ieeexplore.ieee.org/document/8672625/NLOS identificationNLOS correctionMDSgross error
collection DOAJ
language English
format Article
sources DOAJ
author Yuhong Zhu
Tengfei Ma
Zhijun Li
Dayang Sun
Xiaosong Sun
Xiaohui Zhao
Fengye Hu
spellingShingle Yuhong Zhu
Tengfei Ma
Zhijun Li
Dayang Sun
Xiaosong Sun
Xiaohui Zhao
Fengye Hu
NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection
IEEE Access
NLOS identification
NLOS correction
MDS
gross error
author_facet Yuhong Zhu
Tengfei Ma
Zhijun Li
Dayang Sun
Xiaosong Sun
Xiaohui Zhao
Fengye Hu
author_sort Yuhong Zhu
title NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection
title_short NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection
title_full NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection
title_fullStr NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection
title_full_unstemmed NLOS Identification and Correction Based on Multidimensional Scaling and Quasi-Accurate Detection
title_sort nlos identification and correction based on multidimensional scaling and quasi-accurate detection
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description In wireless sensor networks, most of the previous NLOS identification is based on error estimation model established by raw data. In this paper, we propose a method of NLOS identification named NIMQ based on multidimensional scaling (MDS) and Quasi-Accurate detection (QUAD). In this method, we first map NLOS information into gross error information by MDS, then we use QUAD to identify the gross errors which contain the NLOS information. This method relies only on distance measurements and is independent of the measured error estimation model. In addition, using the network topology constraints in higher dimensional space, the identified distance can be corrected by multiple iterations. Finally, an NLOS iterating correction algorithm (NICA) is proposed. Simulations show that in different scenarios our proposed NIMQ and NICA can well identify and correct NLOS measurement.
topic NLOS identification
NLOS correction
MDS
gross error
url https://ieeexplore.ieee.org/document/8672625/
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AT dayangsun nlosidentificationandcorrectionbasedonmultidimensionalscalingandquasiaccuratedetection
AT xiaosongsun nlosidentificationandcorrectionbasedonmultidimensionalscalingandquasiaccuratedetection
AT xiaohuizhao nlosidentificationandcorrectionbasedonmultidimensionalscalingandquasiaccuratedetection
AT fengyehu nlosidentificationandcorrectionbasedonmultidimensionalscalingandquasiaccuratedetection
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