Post on 15-Oct-2015
description
5/26/2018 Propagation Calibration
1/20www.awe-com.com
Automatic
Calibration
2012 by AWE Communications GmbH
5/26/2018 Propagation Calibration
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
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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
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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
Automatic Calibration
Models, parameters and environments supported
Concept
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Automatic Calibration
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
Step 1: Measurement Data Import
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Automatic Calibration
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
Step 1: Measurement Data Import
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Automatic Calibration
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
Step 1: Measurement Data Import
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Automatic Calibration
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 1: Measurement Data Import
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Automatic Calibration
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
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Automatic Calibration
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
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Automatic Calibration
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
Step 4: Run Automatic Calibration
General Settings allow the
configuration of threshold,
etc.
Model Settings allow the
configuration of the model
parameter ranges. These
settings depend on the modelused.
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Automatic Calibration
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
Step 4: Run Automatic Calibration
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Automatic Calibration
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
Step 5: Verify Accuracy
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Automatic Calibration
Example for indoor environment
Display of statistics for difference
Step 5: Verify Accuracy
Prediction result Measurement data Difference between prediction
result and measurement data
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Automatic Calibration
Further analysis of results possible
Probability Density Function (PDF)
Cumulative Density Function (CDF)
Step 5: Verify Accuracy
Probability Density Function (PDF) Cumulative Density Function (CDF)
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Automatic Calibration
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
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Automatic Calibration
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
Calibration of Materials / Map Data
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Automatic 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
Calibration of Materials / Map Data
C l b
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Automatic Calibration
Range for optimization can be defined in the frequency depending properties
dialog
A larger range means longer computation time
Calibration of Materials / Map Data
A i C lib i
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Automatic Calibration
Results of material calibration are also shown at the end
New material properties can be saved in the indoor/urban database
automatically
Calibration of Materials / Map Data