Signal power distribution in the azimuth, elevation and time delay domains in urban environments for various elevations of base station antenna

被引:17
作者
Blaunstein, Nathan [1 ]
Toeltsch, Martin
Laurila, Juha
Bonek, Ernst
Katz, Dmitry
Vainikainen, Pertti
Tsouri, Nissim
Kalliola, Kimmo
Laitinen, Heikki
机构
[1] Ben Gurion Univ Negev, Dept Commun Syst Engn, IL-84105 Beer Sheva, Israel
[2] Vienna Tech Univ, Inst Nachrichtentech & Hochfrequenztech, A-1040 Vienna, Austria
[3] Nokia Res Ctr, Radio Syst Area, Radio Technol Lab, FIN-00045 Helsinki, Finland
[4] Albatron Ltd Co, IL-84965 Omer, Israel
[5] Helsinki Univ Technol, Radio Lab, FIN-02015 Espoo, Finland
[6] NRC Radio Technol Lab, RF Measurements & Applicat Grp, FIN-00045 Helsinki, Finland
[7] Space Syst Finland, FIN-02200 Espoo, Finland
关键词
azimuth; channel; comparison with measurements; delay; elevation; model; propagation; smart antennas; stochastic model; waveguide;
D O I
10.1109/TAP.2006.882150
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We investigate signal power distribution in the azimuth-of-arrival, elevation-of-arrival and time-of-arrival domains for various positions of the base station antenna located below the rooftop as well as at rooftop level. This article is based on a multiparametric stochastic model we introduced in 2004, as combination of a statistical part, describing an array of buildings randomly distributed at the terrain, and a waveguide model, describing a grid of straight streets with buildings along them. Joint signal power distributions in azimuth-time delay and elevation-azimuth planes are obtained and compared to high-resolution 3-D measurements carried out in downtown Helsinki. A good agreement between theoretical predictions and the measurements is obtained basically, and also regarding the wave-guiding effect and antenna height dependencies. A satisfactory physical explanation,,which accounts for the character of the specific building topography, the height and tilt of the antennas, is found. Finally, we present a numerical experiment of changing the base station antenna height, its directivity, and tilt. By this we show that the proposed stochastic approach allows to predict and control a-priori main parameters of smart antenna based only on knowledge of specific features of built-up terrain.
引用
收藏
页码:2902 / 2916
页数:15
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