Title :
Generalization of the Lee Method for the Analysis of the Signal Variability
Author :
De La Vega, David ; López, Susana ; Matías, Jose María ; Gil, Unai ; Pena, Iván ; Vélez, Manuel Ma ; Ordiales, Juan Luis ; Angueira, Pablo
Author_Institution :
Univ. of the Basque Country, Bilbao
Abstract :
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.
Keywords :
Rayleigh channels; UHF radio propagation; channel estimation; mobile radio; statistical distributions; CEPT; European Conference of Postal and Telecommunications Administrations; International Telecommunications Union; Rayleigh channel; Rayleigh distribution; channel estimation; coverage prediction techniques; digital radio mondiale transmission; distribution function; generalized Lee method; ground-wave propagation; medium-wave band; propagation channel; propagation models; signal variability analysis; ultrahigh-frequency band; Channel estimation; Coverage prediction techniques; Propagation models; Signal variability; coverage prediction techniques; propagation models; signal variability;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2008.926214