A Deep Neural Network-Based LOS Classification for Triangulation Positioning

Chahyeon Eom, Chungyong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We propose a deep neural network based a line-of-sight classification for triangulation positioning. The accuracy of triangulation decreases in the non-line-of-sight environments but finding the channel which has a line-of-sight path is difficult in the mathematical method. A proposed scheme can solve this problem by taking advantage of deep neural network. Performance evaluation is carried out by the system level simulator of Long Term Evolution-Advanced with Spatial Channel Model. Performance results indicate that the proposed scheme can effectively increase the positioning accuracy and robustness of the inaccurate received signal strength measurements.

Original languageEnglish
Title of host publication2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages598-601
Number of pages4
ISBN (Electronic)9781728149851
DOIs
Publication statusPublished - 2020 Feb
Event2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 - Fukuoka, Japan
Duration: 2020 Feb 192020 Feb 21

Publication series

Name2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020

Conference

Conference2nd International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020
CountryJapan
CityFukuoka
Period20/2/1920/2/21

All Science Journal Classification (ASJC) codes

  • Information Systems and Management
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Information Systems
  • Signal Processing

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  • Cite this

    Eom, C., & Lee, C. (2020). A Deep Neural Network-Based LOS Classification for Triangulation Positioning. In 2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020 (pp. 598-601). [9065061] (2020 International Conference on Artificial Intelligence in Information and Communication, ICAIIC 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAIIC48513.2020.9065061