This paper describes the extraction of cluster parameters at the user terminal from wideband data measured at 1.9 GHz in short-range outdoor macrocellular environments. Clusters are first identified through data visual inspection. Then, a statistical characterization is carried out based on delay-oriented classification of the clusters. Results show that, at each location, six to eight clusters are present, with average cluster delay- and azimuth spreads of about 10 to IS nanoseconds and 10 to 20 degrees respectively. The model is validated with measurement results, including correlations for broadside and inline receive antenna configurations.
|Number of pages||5|
|Journal||IEEE Vehicular Technology Conference|
|Publication status||Published - 2005|
ASJC Scopus subject areas
- Electrical and Electronic Engineering