ATDI announces an innovative method to build digital terrain dedicated to propagation of electromagnetic waves.
How to improve the quality of radio planning:
Actual medium resolution clutter data dedicated to radio planning are based on classification (Dense urban, Suburban, Village, Building blocks, forest, hydro…). With this type of datasets, deterministic propagation models give acceptable results compared to measurements, however, a lot of measurement points cannot be correlated (even with tuning), due to the lack of accurate digital terrain and clutter information (heights and locations of the obstacles, open areas…).
This is why we have developed an innovative method to build more accurate DTM and clutter layers that can be used to create Medium Resolution (10m-20m) and High Resolution datasets (1m-5m).
Different free and commercial sources are combined to create more accurate layers at reduced costs compared to standard datasets.
In our example below, on a Medium Resolution dataset (20m), we extracted uncorrelated points from mobile measurement survey, then we performed fixed measurements on these points and built an innovative DTM/Clutter/Building dataset from open data to get better measures/predictions correlation results.
We have used Deygout 1994 / Fine-E propagation model in ICS telecom EV.
Dataset resolution: 20 m.
Test transmitter: 50 W / 138 MHz.
Standard Clutter (landcover) model (urban and vegetation contours):
Above, we can see a more realistic urban repartition (in red) than Standard Clutter model.
Building elevations are extracted and medium and high vegetation areas are classified.
Linear (roads, railways, waterways) are added to delineate urban blocks.
< 2 minutes (22 000 km²)
Coverage calculation result comparison
Above: Coverage calculation performed on Standard Clutter model
Above: Coverage calculation performed on New Clutter model. We can see a more realistic impact of urban blocks (West), and vegetation (East)
Correlation results (originally uncorrelated points only @20 m):
|Clutter method||Standard deviation||Average error||Correlation factor|
|Standard classification||6.78 dB||-1.54 dB||0.72|
|Building extraction||3.81 dB||1.62 dB||0.92|
|Building extraction + Linear||3.79 dB||1.73 dB||0.92|
|Buildings transformed to 5 Clutter classes||3.83 dB||1.73 dB||0.92|
This new method improves significantly the quality of simulations, especially in urban areas. It’s free for Medium resolution datasets and at very affordable price for High Resolution datasets.
We, at ATDI, continue to improve this method. Objectives:
- Reduce radio planning costs
- Get always more accurate results
- Produce data faster
|Resolution||Price in Euro|
|2 m||150 €/km²|
|5 m||40 €/km²|
|10 m||5 €/km²|
|Medium Resolution||0 €/km²|
ATDI is now building a new China dataset. Will be available soon: www.atdi.com/cartography
Thanks to: Japan Aerospace Exploration Agency, National Geomatics Center of China, U.S Geological Survey, Open Street Map, Malta Communications Authority, DianZhen.