Abstract | ||
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The Lee method, which was recommended by the International Telecommunications Union (ITU) and the European Conference of Postal and Telecommunications Administrations (CEPT) to obtain the local mean values of the received signal along a route, was developed for a Rayleigh distribution in the ultrahigh-frequency (UHF) band. This paper describes the generalization of this method to any propagation channel and frequency band and describes the methodology to obtain the parameters involved. The Generalized Lee Method is based on field data samples, which allows estimating the mean values without the requirement of a priori knowing the distribution function that better fits the propagation channel. The accuracy in obtaining the averaging interval is also improved. The Generalized Lee Method is solved for ground-wave propagation at the medium-wave (MW) band, taking data from field trials of a Digital Radio Mondiale (DRM) transmission. The results show that the values considerably differ from those obtained for a Rayleigh channel and prove that the method allows the adequate differentiation of long-term and short-term signals. The Generalized Lee Method completes the results obtained by Lee and Parsons and makes better characterization of the spatial variability possible. |
Year | DOI | Venue |
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2009 | 10.1109/TVT.2008.926214 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY |
Keywords | Field | DocType |
Channel estimation, coverage prediction techniques, propagation models, signal variability | Ground wave propagation,Data transmission,Computer science,Frequency band,Communication channel,Electronic engineering,Probability distribution,Digital Radio Mondiale,Estimation theory,Rayleigh distribution | Journal |
Volume | Issue | ISSN |
58 | 2 | 0018-9545 |
Citations | PageRank | References |
1 | 0.39 | 6 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
David de la Vega | 1 | 18 | 7.89 |
Susana Lopez | 2 | 26 | 2.75 |
Jose MarÍa Matias | 3 | 1 | 0.39 |
Unai Gil | 4 | 57 | 7.96 |
Iván Peña | 5 | 11 | 4.23 |
Manuel Ma. Velez | 6 | 1 | 0.39 |
Juan Luis Ordiales | 7 | 1 | 0.39 |
Pablo Angueira | 8 | 390 | 47.52 |