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Censored Multipath Component Cross-Polarization Ratio Modeling

Karttunen, Aki ; Gustafson, Carl LU ; Molisch, Andreas F. LU ; Jarvelainen, Jan and Haneda, Katsuyuki (2017) In IEEE Wireless Communications Letters 6(1). p.82-85
Abstract

In wireless channel measurements, the relatively weak cross-polarized multipath components (MPCs) are typically severely affected by the measurement noise level. As shown in this letter, the typical cross-polarization ratio (XPR) model parameter estimation, which ignores the existence of censored samples, may lead to significant errors. We demonstrate how to achieve accurate parameter estimates with a maximum likelihood estimator that properly takes into account both the measured XPRs and the censored samples. Also, a new XPR model is presented in which the average XPR is modeled as a function of the MPC excess loss. The new model is shown to be insensitive to the channel measurement noise level. A practical example with measured data... (More)

In wireless channel measurements, the relatively weak cross-polarized multipath components (MPCs) are typically severely affected by the measurement noise level. As shown in this letter, the typical cross-polarization ratio (XPR) model parameter estimation, which ignores the existence of censored samples, may lead to significant errors. We demonstrate how to achieve accurate parameter estimates with a maximum likelihood estimator that properly takes into account both the measured XPRs and the censored samples. Also, a new XPR model is presented in which the average XPR is modeled as a function of the MPC excess loss. The new model is shown to be insensitive to the channel measurement noise level. A practical example with measured data in an indoor environment at 60 GHz demonstrates the utility of the approach.

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Please use this url to cite or link to this publication:
author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
censored data, channel characterization and modeling, Cross-polarization ratio (XPR), maximum likelihood estimation, millimeter-wave propagation measurements, radio propagation
in
IEEE Wireless Communications Letters
volume
6
issue
1
article number
7762106
pages
4 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
external identifiers
  • scopus:85013413515
  • wos:000395868700021
ISSN
2162-2337
DOI
10.1109/LWC.2016.2633355
language
English
LU publication?
yes
id
fdff31c3-5e59-4470-8d7c-f984a60493e6
date added to LUP
2017-03-08 11:49:59
date last changed
2024-05-12 09:54:38
@article{fdff31c3-5e59-4470-8d7c-f984a60493e6,
  abstract     = {{<p>In wireless channel measurements, the relatively weak cross-polarized multipath components (MPCs) are typically severely affected by the measurement noise level. As shown in this letter, the typical cross-polarization ratio (XPR) model parameter estimation, which ignores the existence of censored samples, may lead to significant errors. We demonstrate how to achieve accurate parameter estimates with a maximum likelihood estimator that properly takes into account both the measured XPRs and the censored samples. Also, a new XPR model is presented in which the average XPR is modeled as a function of the MPC excess loss. The new model is shown to be insensitive to the channel measurement noise level. A practical example with measured data in an indoor environment at 60 GHz demonstrates the utility of the approach.</p>}},
  author       = {{Karttunen, Aki and Gustafson, Carl and Molisch, Andreas F. and Jarvelainen, Jan and Haneda, Katsuyuki}},
  issn         = {{2162-2337}},
  keywords     = {{censored data; channel characterization and modeling; Cross-polarization ratio (XPR); maximum likelihood estimation; millimeter-wave propagation measurements; radio propagation}},
  language     = {{eng}},
  month        = {{02}},
  number       = {{1}},
  pages        = {{82--85}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{IEEE Wireless Communications Letters}},
  title        = {{Censored Multipath Component Cross-Polarization Ratio Modeling}},
  url          = {{http://dx.doi.org/10.1109/LWC.2016.2633355}},
  doi          = {{10.1109/LWC.2016.2633355}},
  volume       = {{6}},
  year         = {{2017}},
}