Rural Databases

Clutter Heights and Clearance

Introduction


Databases to describe the scenario (topography, land usage,...) are very important for accurate propagation modeling. Besides the frequency depended loss, WinProp offers the possibility to specify the height of the objects and the clearance individually for each clutter class. The definitions of clutter heights and clearance radii are important to increase the prediction accuracy, e.g. while using the Knife Edge diffraction extension.

 

Description


The height of objects (e.g. forest, buildings, ...) can be defined for each clutter class separately either as a fixed value, which applies for the whole clutter class (see first figure) or as a mean value with an additional standard deviation (see second figure). In the second case, the clutter heights are statistically distributed in order to obtain a more realistic database. The clearance, i.e. the distance between the objects, can be defined individually for each clutter class, as well. This value can be specified either as a fix number or as a statistically distributed parameter. 

 

Clutter database with fix clutter heights and clearance radii

 

Clutter database with statistically distributed clutter heights and clearance radii

 

Depending on the clearance radii of the clutter classes some rays (light blue lines) between transmitter and receiver location are diffracted at obstacles, whereas others hit the prediction plane without being diffracted. These diffraction loss, which attenuate the propagation paths additionally, can be considered by using the Knife Edge diffraction extension on top of the selected wave propagation model.

 

Example


The following example depicts wave propagation predictions in the area of Seoul (Korea). Both predictions have been computed with the Hata-Okumura model, using a topography map and a corresponding clutter database of the simulation area. On the left side, all height and clearance values of the clutter classes have fixed values. The figure on the right hand side shows the same prediction, but under consideration of statistically distributed values for clutter heights and clearance radii.

 

Clutter database of Seoul (Korea)
 

Prediction of field strength with
fixed values for clutter height and clearance
Prediction of field strength with
statistically distributed values for clutter height and clearance

List with all supported coordinate systems

Overview over all rural prediction models.

List with selected  database vendors