propagation calibration

5/26/2018 Propagation Calibration

1/20www.awe-com.com

Automatic

Calibration

2012 by AWE Communications GmbH


2/20

by AWE Communications GmbH 2

Contents

Concept

Step 1: Measurement Data Import

Step 2: Measurement Data Assignment

Step 3: Generation of Calibration Files

Step 4: Run Automatic Calibration

Step 5: Verify Accuracy


3/20

by AWE Communications GmbH 3

Automatic Calibration

Calibration module allows automatic tuning based on measurement data

Tuning of model parameters

Tuning of materials properties

All propagation models and environments are supported

Calibration files are required and are generated automatically during wave

propagation predictions if measurement data is available

Concept

Prediction 1 withmeasurement data

Calibration file 1(*.cal)

Prediction 2 with

measurement data

Calibration file 2

(*.cal)

Prediction N withmeasurement data

Calibration file N(*.cal)

.

.

.

.

.

.

AutomaticCalibration

(calibration basedon N differentmeasurement

routes)

Best Settingsfor Prediction Model


4/20 by AWE Communications GmbH 4

Model Environment Model approach

3D Intelligent Ray Tracing Urban, indoor Deterministic

3D Standard Ray Tracing Indoor Deterministic

Dominant Path Model Rural, urban, indoor Semi-deterministic

Empirical / Deterministic Two Ray Model Rural Empirical

Motley Keenan Model Indoor Empirical

COST 231 Multi-Wall Modell Indoor Empirical


Models, parameters and environments supported

Concept




Measurement data is required

Auto calibration generates best settings for models/materials in order to

match with measurement data

If measurement data has limited accuracy, auto calibration will lead to wrong

results

Superposed measurements (of several transmitters) are not supported. For

each transmitter an individual measurement route must be available.

Measurement data can be either Path Loss (dB) or Power (dBm)

Preferably using measurement data in ASCII file format

Using a median filter in order to remove effects due to fast fading before the

data is imported is recommended





Import of measurements if coordinates for each measured point are

available:

It is an ASCII file expected with one line per measurement value and columns for

longitude, latitude and measured value

Open result file in ProMan and use File > Import Data or select File > New

Measurement File.

Select first or second radio button in the import dialog (depending if coordinates

should be converted to another system or not)

After selecting OK the import starts





Import of measurements if no coordinates for measured points are

available:

It is an ASCII file expected with one line per measurement value and only one

column

Open result file in ProMan and use File > Import Data or select File > New

Measurement File.

Select third radio button in the import dialog

After selecting OK a poly line can be drawn on the map and the measurement

values are assigned to the poly line





Measurement data can be automatically aligned to a line drawn by the user

(Edit >Align data along a line)

Modification of measurement data possible with drawing tools (Edit > Edit

Data)





Step 2: Measurement Data Assignment

The measurement data imported in the step before (*.fpp, *.fpl) has now to

be assigned to a transmitter (Transmitter dialog, button Measurements)

Mind the correct settings of power, frequency and antenna pattern

(orientation, type, gain)

Only one measurement route (resp.

file) can be assigned to a

transmitter

The measurement file must not

contain a superposition of

measurements from different sites




Calibration files are generated automatically if measurement data was

assigned to a transmitter

Calibration files (*.cal) are saved in the result folder defined in project

settings

Mind the correct project settings in ProMan:

Adaptive resolution of prediction models not supported

Propagation paths must be activated

Coordinates of measurement data must match to prediction area defined

in ProMan

After prediction is completed calibration files will be available on hard disk

Step 3: Generation of Calibration Files




Automatic calibration is included in ProMan (Computation > Auto Calibration)

All selected calibration files have to be computed with the same model and in

the same environment

Add calibration files to the list


General Settings allow the

configuration of threshold,

etc.

Model Settings allow the

configuration of the model

parameter ranges. These

settings depend on the modelused.




Auto Calibration can be started with Start button

After completion, the results are displayed in a separate window

The best value for each model parameter is shown (together with the

number of rays used for calibration of this parameter)

Statistical evaluation is presented below the results





The optimized parameters determined by the auto calibration module

have to be entered manually into the project settings in ProMan

Prediction has to be computed again for consideration of new parameters

After prediction was recomputed the new results can be compared to

measurement data

Evaluation of accuracy with mean valueand standard deviation of difference

between prediction result and measurement data

Open prediction result in ProMan and select Edit > Subtract Data >Value and

select the measurement file in the new dialog box

The differences are shown on the screen

Statistical evaluation can be shown with the selectionAnalysis > Information





Example for indoor environment

Display of statistics for difference


Prediction result Measurement data Difference between prediction

result and measurement data




Further analysis of results possible

Probability Density Function (PDF)

Cumulative Density Function (CDF)


Probability Density Function (PDF) Cumulative Density Function (CDF)




Material properties and map data can be calibrated additionally

The following table shows the type of material data supported for calibration

depending on the propagation model

Calibration of Materials / Map Data

Model Map data calibration

3D Intelligent Ray Tracing Material properties of indoor walls: Reflection, diffraction and transmission loss

3D Standard Ray Tracing Material properties of indoor walls: Reflection, diffraction and transmission loss

Dominant Path Model Clutter classes: AttenuationsEmpirical / Deterministic Two Ray Model Clutter classes: Attenuations

Motley Keenan Model -

COST 231 Multi-Wall Model Material properties of indoor walls: Transmission loss




Material calibration has to be enabled in the calibration GUI

Range for materials can be defined

As larger the range as longer the calibration process will take

Individual materials can be enabled or disabled for calibration





Material configuration can be done in the calibration GUI by clicking on

Materials

Modification of material settings possible with Show & Modify button

Table shows which materials will be calibrated


C l b




Range for optimization can be defined in the frequency depending properties

dialog

A larger range means longer computation time


A i C lib i




Results of material calibration are also shown at the end

New material properties can be saved in the indoor/urban database

automatically


propagation calibration

Documents

file import data

file newmeasurement

measurement data importstep

measurement value

ascii file formatusing

onecolumnopen result

requiredauto calibration

individual measurement