Details
| Original language | English |
|---|---|
| Title of host publication | 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting AP-S/URSI 2023 |
| Subtitle of host publication | Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1231-1232 |
| Number of pages | 2 |
| ISBN (electronic) | 9781665442282 |
| ISBN (print) | 978-1-6654-4229-9 |
| Publication status | Published - 2023 |
| Event | 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting - Portland, United States Duration: 23 Jul 2023 → 28 Jul 2023 |
Publication series
| Name | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
|---|---|
| Volume | 2023-July |
| ISSN (Print) | 1522-3965 |
| ISSN (electronic) | 1947-1491 |
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®.
ASJC Scopus subject areas
- Engineering(all)
- Electrical and Electronic Engineering
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2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting AP-S/URSI 2023: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1231-1232 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 2023-July).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - A Fast Indoor Coverage Prediction Scheme at 60 GHz Based on Image Processing, Geometrical Optics, and Transport Theory
AU - Fu, Ziheng
AU - Mukherjee, Swagato
AU - Lanagan, Michael T.
AU - Mitra, Prasenjit
AU - Chawla, Tarun
AU - Narayanan, Ram M.
PY - 2023
Y1 - 2023
N2 - 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®.
AB - 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®.
UR - http://www.scopus.com/inward/record.url?scp=85172413519&partnerID=8YFLogxK
U2 - 10.1109/USNC-URSI52151.2023.10238144
DO - 10.1109/USNC-URSI52151.2023.10238144
M3 - Conference contribution
AN - SCOPUS:85172413519
SN - 978-1-6654-4229-9
T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
SP - 1231
EP - 1232
BT - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting AP-S/URSI 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting
Y2 - 23 July 2023 through 28 July 2023
ER -