3D Multi-path Geometry Localization using Generalized Approximate Message Passing

Tae Woo Kim, Sang Hyun Lee, Dong Ku Kim

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

Abstract

We estimate the position and orientation of the Hidden Node (HN) at the Sensing Node (SN) in a 3D channel environment with only the multi-path Non-Line-of-Sight (NLoS) channel. We estimate the position and orientation of HN using the parameters of Angle-of-Arrival (AoA), Angle-of-Departure (AoD), and Time-Difference-of-Arrival (TDoA) estimated at SN. We introduce how to deal with non-linear equations with exhaustive searching with LS estimation and Generalized Approximate Message Passing (GAMP) with the first-order approximation. We also evaluate Mean Squared Error (MSE) for performance measure and processing time for complexity. Finally, We introduce a ratio of MSE to the processing time to show a trade-off in each scheme, showing that GAMP is superior to the exhaustive search with Least Square (LS).

Original languageEnglish
Title of host publicationICTC 2022 - 13th International Conference on Information and Communication Technology Convergence
Subtitle of host publicationAccelerating Digital Transformation with ICT Innovation
PublisherIEEE Computer Society
Pages1000-1005
Number of pages6
ISBN (Electronic)9781665499392
DOIs
Publication statusPublished - 2022
Event13th International Conference on Information and Communication Technology Convergence, ICTC 2022 - Jeju Island, Korea, Republic of
Duration: 2022 Oct 192022 Oct 21

Publication series

NameInternational Conference on ICT Convergence
Volume2022-October
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Conference

Conference13th International Conference on Information and Communication Technology Convergence, ICTC 2022
Country/TerritoryKorea, Republic of
CityJeju Island
Period22/10/1922/10/21

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government (MSIT) (No. 2022R1A5A1027646).

Publisher Copyright:
© 2022 IEEE.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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