Estimation of the Correlation Properties of Large Scale Parameters from Measurement Data

• Published in: 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications pp. 1 - 5
• Main Authors: Aihua Hong, Narandzic, M., Schneider, C., Thoma, R.S.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2007
• Subjects: Acoustic noise; Autocorrelation; Delay estimation; Fading; Large-scale systems; MIMO; Noise level; Propagation delay; Road transportation; Wideband
• ISBN: 9781424411436; 1424411432
• ISSN: 2166-9570
• DOI: 10.1109/PIMRC.2007.4394296

Interdependences of radio-channel model parameters, being observed in some measurement data, should be reproduced by the model. For that purpose the statistical correlation is often used. From the same wideband multiple-input and multiple- output (MIMO) channel data, estimated correlation between large-scale propagation parameters (e.g. delay spread and shadow fading) could be different due to non-uniqueness of post-processing procedure. In this paper, through examining a set of measurement data, we studied the impacts of differently parameterized post-processing procedures of measurement data on the auto- and cross-correlation properties of large scale parameters. We focus on the single parameter in postprocessing procedures: different margins of noise cutting level. The measurement data are gathered in a public hotspot bridge-to-car highway LOS scenario in Ulm, Germany.