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Ray-tracing-assisted High-Resolution Parameter Estimation for Dynamic Millimeter-Wave Channels

Al-Ameri, Ali LU ; Steinböck, Gerhard ; Sanchez, Juan LU ; Tufvesson, Fredrik LU orcid and Cai, Xuesong LU (2025) 19th European Conference on Antennas and Propagation (EuCAP) 2025
Abstract
An accurate description of the wireless channel is essential to the development of modern wireless systems. In order to mathematically model the propagation channel, one important prior step often done is high-resolution parameter estimation. The estimation accuracy of this step has a significant impact on how well the channel models can represent reality. In this paper, we address this by improving the estimation performance of the well-known space-alternating generalized expectation maximization algorithm by using ray tracing estimation results in its initialization step. By using the proposed method to estimate multi-path components from raw measurement data gathered from an outdoor measurement campaign, we show that the resulting... (More)
An accurate description of the wireless channel is essential to the development of modern wireless systems. In order to mathematically model the propagation channel, one important prior step often done is high-resolution parameter estimation. The estimation accuracy of this step has a significant impact on how well the channel models can represent reality. In this paper, we address this by improving the estimation performance of the well-known space-alternating generalized expectation maximization algorithm by using ray tracing estimation results in its initialization step. By using the proposed method to estimate multi-path components from raw measurement data gathered from an outdoor measurement campaign, we show that the resulting algorithm gives an improvement in estimation accuracy and lowers computational complexity. (Less)
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author
; ; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
in press
subject
host publication
19th European Conference on Antennas and Propagation, EuCAP 2025
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
19th European Conference on Antennas and Propagation (EuCAP) 2025
conference location
Stockholm
conference dates
2025-03-31 - 2025-04-05
language
English
LU publication?
yes
id
3da8bb1d-506b-4a52-a2ca-e91a53ce209b
date added to LUP
2025-01-23 16:07:19
date last changed
2025-04-04 14:49:06
@inproceedings{3da8bb1d-506b-4a52-a2ca-e91a53ce209b,
  abstract     = {{An accurate description of the wireless channel is essential to the development of modern wireless systems. In order to mathematically model the propagation channel, one important prior step often done is high-resolution parameter estimation. The estimation accuracy of this step has a significant impact on how well the channel models can represent reality. In this paper, we address this by improving the estimation performance of the well-known space-alternating generalized expectation maximization algorithm by using ray tracing estimation results in its initialization step. By using the proposed method to estimate multi-path components from raw measurement data gathered from an outdoor measurement campaign, we show that the resulting algorithm gives an improvement in estimation accuracy and lowers computational complexity.}},
  author       = {{Al-Ameri, Ali and Steinböck, Gerhard and Sanchez, Juan and Tufvesson, Fredrik and Cai, Xuesong}},
  booktitle    = {{19th European Conference on Antennas and Propagation, EuCAP 2025}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Ray-tracing-assisted High-Resolution Parameter Estimation for Dynamic Millimeter-Wave Channels}},
  url          = {{https://lup.lub.lu.se/search/files/206788620/2025024558.pdf}},
  year         = {{2025}},
}