A Fast Indoor Coverage Prediction Scheme at 60 GHz Based on Image Processing, Geometrical Optics, and Transport Theory

Ziheng Fu, Swagato Mukherjee, Michael T. Lanagan, Prasenjit Mitra, Tarun Chawla, Ram M. Narayanan

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

Abstract

3D ray tracing is used to accurately predict path loss, phase, and Received Signal Strength for various environments. In this paper, we develop a fast and approximate prediction scheme for indoor path loss using digital image processing, geometrical optics and transport theory. The proposed algorithm is tested in an apartment environment, and its performance is compared against a commercial 3D ray tracing software suite, Wireless InSite®.

Original languageEnglish (US)
Title of host publication2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1231-1232
Number of pages2
ISBN (Electronic)9781665442282
DOIs
StatePublished - 2023
Event2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023 - Portland, United States
Duration: Jul 23 2023Jul 28 2023

Publication series

NameIEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume2023-July
ISSN (Print)1522-3965

Conference

Conference2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, AP-S/URSI 2023
Country/TerritoryUnited States
CityPortland
Period7/23/237/28/23

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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