UWB Sensor-Based Indoor LOS/NLOS Localization With Support Vector Machine Learning-Reference-Cited by-同舟云学术

UWB Sensor-Based Indoor LOS/NLOS Localization With Support Vector Machine Learning

Published:2023-02-01 Issue:3 Volume:23 Page:2988-3004
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Yang Hongchao¹^ORCID,Wang Yunjia¹^ORCID,Seow Chee Kiat²^ORCID,Sun Meng¹^ORCID,Si Minghao¹^ORCID,Huang Lu³^ORCID

Affiliation:

1. Key Laboratory of Land Environment and Disaster Monitoring, China University of Ming and Technology, Xuzhou, China

2. School of Computing Science, University of Glasgow, Glasgow, U.K.

3. 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10032973/10006709.pdf?arnumber=10006709

Reference55 articles.

1. TOA-Based Indoor Localization and Tracking With Inaccurate Floor Plan Map via MRMSC-PHD Filter

2. NLOS Mitigation for UWB Localization Based on Sparse Pseudo-Input Gaussian Process

3. NLOS identification and weighted least-squares localization for UWB systems using multipath channel statistics;güvencç;EURASIP J Adv Signal Process,2008

4. Analysis of Target Detection Based on UWB NLOS Ranging Modeling

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