Review and comparison of tropospheric scintillation prediction models for satellite communications

P. Yu, I. A. Glover, P. A. Watson, O. T. Davies, S. Ventouras, C. Wrench

Research output: Contribution to journalReview article

11 Citations (Scopus)

Abstract

An overview of the origin and characteristics of tropospheric scintillation is presented and a measurement database against which scintillation models are to be tested is described. Maximum likelihood log-normal and gamma distributions are compared with the measured distribution of scintillation intensity. Eleven statistical models of monthly mean scintillation intensity are briefly reviewed and their predictions compared with measurements. RMS error, correlation, percentage error bias, RMS percentage error and percentage error skew are used in a comprehensive comparison of these models. In the context of our measurements, the ITU-R model has the best overall performance. Significant difference in the relative performance of the models is apparent when these results are compared with those from a similar study using data measured in Italy.

LanguageEnglish
Pages283-302
Number of pages20
JournalInternational Journal of Satellite Communications and Networking
Volume24
Issue number4
Early online date18 May 2006
DOIs
Publication statusPublished - Jul 2006
Externally publishedYes

Fingerprint

Communication satellites
Scintillation
Maximum likelihood

Cite this

Yu, P. ; Glover, I. A. ; Watson, P. A. ; Davies, O. T. ; Ventouras, S. ; Wrench, C. / Review and comparison of tropospheric scintillation prediction models for satellite communications. In: International Journal of Satellite Communications and Networking. 2006 ; Vol. 24, No. 4. pp. 283-302.
@article{3c19260ee0cc4d03a0433cf86facac3e,
title = "Review and comparison of tropospheric scintillation prediction models for satellite communications",
abstract = "An overview of the origin and characteristics of tropospheric scintillation is presented and a measurement database against which scintillation models are to be tested is described. Maximum likelihood log-normal and gamma distributions are compared with the measured distribution of scintillation intensity. Eleven statistical models of monthly mean scintillation intensity are briefly reviewed and their predictions compared with measurements. RMS error, correlation, percentage error bias, RMS percentage error and percentage error skew are used in a comprehensive comparison of these models. In the context of our measurements, the ITU-R model has the best overall performance. Significant difference in the relative performance of the models is apparent when these results are compared with those from a similar study using data measured in Italy.",
keywords = "Propagation, Satellite communications, Scintillation, Slant-path",
author = "P. Yu and Glover, {I. A.} and Watson, {P. A.} and Davies, {O. T.} and S. Ventouras and C. Wrench",
year = "2006",
month = "7",
doi = "10.1002/sat.842",
language = "English",
volume = "24",
pages = "283--302",
journal = "International Journal of Satellite Communications and Networking",
issn = "1542-0973",
publisher = "John Wiley and Sons Ltd",
number = "4",

}

Review and comparison of tropospheric scintillation prediction models for satellite communications. / Yu, P.; Glover, I. A.; Watson, P. A.; Davies, O. T.; Ventouras, S.; Wrench, C.

In: International Journal of Satellite Communications and Networking, Vol. 24, No. 4, 07.2006, p. 283-302.

Research output: Contribution to journalReview article

TY - JOUR

T1 - Review and comparison of tropospheric scintillation prediction models for satellite communications

AU - Yu, P.

AU - Glover, I. A.

AU - Watson, P. A.

AU - Davies, O. T.

AU - Ventouras, S.

AU - Wrench, C.

PY - 2006/7

Y1 - 2006/7

N2 - An overview of the origin and characteristics of tropospheric scintillation is presented and a measurement database against which scintillation models are to be tested is described. Maximum likelihood log-normal and gamma distributions are compared with the measured distribution of scintillation intensity. Eleven statistical models of monthly mean scintillation intensity are briefly reviewed and their predictions compared with measurements. RMS error, correlation, percentage error bias, RMS percentage error and percentage error skew are used in a comprehensive comparison of these models. In the context of our measurements, the ITU-R model has the best overall performance. Significant difference in the relative performance of the models is apparent when these results are compared with those from a similar study using data measured in Italy.

AB - An overview of the origin and characteristics of tropospheric scintillation is presented and a measurement database against which scintillation models are to be tested is described. Maximum likelihood log-normal and gamma distributions are compared with the measured distribution of scintillation intensity. Eleven statistical models of monthly mean scintillation intensity are briefly reviewed and their predictions compared with measurements. RMS error, correlation, percentage error bias, RMS percentage error and percentage error skew are used in a comprehensive comparison of these models. In the context of our measurements, the ITU-R model has the best overall performance. Significant difference in the relative performance of the models is apparent when these results are compared with those from a similar study using data measured in Italy.

KW - Propagation

KW - Satellite communications

KW - Scintillation

KW - Slant-path

UR - http://www.scopus.com/inward/record.url?scp=33746152457&partnerID=8YFLogxK

U2 - 10.1002/sat.842

DO - 10.1002/sat.842

M3 - Review article

VL - 24

SP - 283

EP - 302

JO - International Journal of Satellite Communications and Networking

T2 - International Journal of Satellite Communications and Networking

JF - International Journal of Satellite Communications and Networking

SN - 1542-0973

IS - 4

ER -