Reference data

Antenna Patterns

The new antenna Search and Select functionality lets you search the Antenna Database, select the desired Manufacturer & Antenna Pattern and add the same in the pattern list.

To access the Antenna Database:

  • Under the Antenna Input menu, click on the Manage my Antennas icon.

Manage My Antennas

  • The Antenna Database dialog box will appear.

Antenna Database Dialogbox

  • In the Search bar, you can search the Antenna Database by Manufacturer, Model or Description.

To do so:

  • Type the desired text in the Search bar.

  • Click on the Search {style=”width:30px”} icon.

  • The list of Manufacturers will be displayed.

  • Select the desired Manufacturer.

    • The respective manufacturer’s list of Antenna Patterns will be displayed.

  • Select the desired Antenna Pattern.

    • The respective Antenna Pattern’s information - ID, Name, Description, Frequency, Gain, Polarisation and Polar Maps will be displayed.

Antenna Database

  • To add the Antenna Pattern in the Pattern list:

    • Click on the Add to my List icon.

    • Click on the OK button.

    • A dialog box will be displayed indicating that the respective Antenna Pattern has been added to Favourites.

Antenna Pattern Favourite

  • The respective Antenna Pattern will be added to the Pattern list.

Antenna Pattern Added

  • To remove a pattern from the Pattern list, you may click on Remove from my List icon.

  • Click on the OK button.

Antenna pattern data

The system consumes antenna patterns in TIA/EIA-804-B (NSMA) ADF, MSI and ANT formats which can be uploaded at /API/antennas.

All patterns should have 360 rows of horizontal data and 360 rows of elevation data.

For more information see Antenna patterns.

To validate an ADF pattern use our online tool here: https://api.cloudrf.com/API/antennas/validator/

Example TIA/EIA-804-B pattern file

REVNUM:,TIA/EIA-804-B
COMNT1:,Standard TIA/EIA Antenna Pattern Data
ANTMAN:,RFI Antennas for Bird Technologies Group
MODNUM:,CC806-06 @ 870
DESCR1:,Corporate collinear, 746-870 MHz
DESCR2:,Omnidirectional, 5dBd, 0o Downtilt
DTDATA:,20060213
LOWFRQ:,746
HGHFRQ:,870
GUNITS:,DBD/DBR
MDGAIN:,4.8
AZWIDT:,360
ELWIDT:,17
CONTYP:,7/16 DIN Silver Plated
ATVSWR:,1.5
FRTOBA:,0
ELTILT:,0
MAXPOW:,500
ANTLEN:,1.85
ANTWID:,0.077
ANTWGT:,7.1
PATTYP:,Typical
NOFREQ:,1
PATFRE:,870
NUMCUT:,2
PATCUT:,V
POLARI:,V/V
NUPOIN:,360
FSTLST:,-179,180
-179,-0.053
-178,-0.179
-177,-0.374
-176,-0.639
-175,-0.971
-174,-1.376
-173,-1.857
-172,-2.425
-171,-3.089
-170,-3.866
-169,-4.772
-168,-5.831
-167,-7.069
-166,-8.515
-165,-10.202
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-163,-14.296
-162,-16.376
-161,-17.699
-160,-17.679
-159,-16.748
-158,-15.657
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-155,-13.777
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-150,-15.146
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97,-27.871
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117,-25.251
118,-25.041
119,-24.695
120,-24.216
121,-23.627
122,-22.963
123,-22.264
124,-21.568
125,-20.905
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128,-19.333
129,-18.997
130,-18.776
131,-18.682
132,-18.725
133,-18.922
134,-19.287
135,-19.839
136,-20.590
137,-21.539
138,-22.631
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140,-24.280
141,-23.992
142,-22.862
143,-21.359
144,-19.862
145,-18.537
146,-17.431
147,-16.547
148,-15.876
149,-15.406
150,-15.127
151,-15.033
152,-15.122
153,-15.396
154,-15.866
155,-16.553
156,-17.499
157,-18.783
158,-20.560
159,-23.162
160,-27.412
161,-34.203
162,-28.598
163,-22.259
164,-18.110
165,-15.021
166,-12.551
167,-10.498
168,-8.756
169,-7.264
170,-5.982
171,-4.882
172,-3.946
173,-3.159
174,-2.509
175,-1.987
176,-1.300
177,-0.700
178,-0.200
179,-0.080
180,0.000
PATCUT:,H
POLARI:,V/V
NUPOIN:,360
FSTLST:,-179,180
-179,-1.097
-178,-1.096
-177,-1.095
-176,-1.094
-175,-1.091
-174,-1.088
-173,-1.085
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179,-1.095
180,-1.096
ENDFIL:,EOF

Terrain data

The system works with raster data in either ASCII grid or GeoTIFF formats.

VM users can add their own tiles by placing them in the mapped /data/DSM/ folder and clicking “Reprocess DSM” within the admin dashboard.

GeoTIFF tiles need to be of type Int16 in WGS84 (EPSG:4326) projection with a pixel resolution of between 1 and 30m.

For a map of system data see Terrain data map.

When using LiDAR data, users should be aware that it is a single surface layer which includes buildings. Therefore if you have a 2m mast on top of a 20m building this is still a height of 2m for the input form. If you do not have LiDAR but do have a digital terrain model (DTM), you would need to enter a height of 22m to simulate a 2m mast atop a 20m building.

In the web interface, LiDAR data is used when Clutter is OFF and it’s installed. If Clutter is ON (Soft or Hard), then a 30m DSM model is used (which lacks buildings) and clutter items are placed upon it.

Clutter data

The system has several forms of landcover data to enhance above surface accuracy, especially in urban areas.

VM users connected to the internet can benefit from third party buildings which are automatically pulled in for cities.

All users can draw and self-classify private clutter items in the web interface as polylines or polygons. Using this technique you can represent almost any obstacle from light trees through to concrete.

Large numbers of obstacles can be uploaded as KML or GeoJSON in the web interface.

Uploaded clutter belongs to a user or the system. VM administrators can override clutter ownership manually in the SQL clutter table to make it system clutter for the benefit of all users.

For more information on landcover classes see Clutter data.

10m Landcover

The primary clutter source is European Space Agency (ESA) 10m Landcover data, published in October 2021.

WorldCover provides a new baseline global land cover product at 10 m resolution for 2020 based on Sentinel-1 and 2 data that was developed and validated in almost near-real time and at the same time maximizes the impact and uptake for the end users.

A tremendous step forward towards the joint use of Sentinel satellite data for worldwide land cover mapping.

© ESA WorldCover project 2020 / Contains modified Copernicus Sentinel data (2020) processed by ESA WorldCover consortium

This comprehensive dataset covers the planet and has 9 bands for Trees, Shrubland, Grassland, Crops, Built-up, Bare ground, Snow/Ice, Water, Swamps and Mangroves.

3D Buildings

A supplementary clutter source are 3D Buildings, derived from Openstreetmap data. These are accurate to 2m and have good coverage in Europe especially.

Public or VM users connected to the Internet can benefit from third party buildings which are automatically pulled in for urban areas worldwide.

Custom Clutter

All users can draw and self-classify private clutter items in the web interface as polylines or polygons. Using this technique you can represent almost any obstacle from light trees through to concrete.

Large numbers of obstacles can be uploaded as KML or GeoJSON in the web interface.

Uploaded clutter belongs to a user or the system. VM administrators can override clutter ownership manually in the SQL clutter table to make it system clutter for the benefit of all users.

For more information on landcover classes see Clutter data.

Clutter codes

System Landcover

1 Water

2 Trees

3 Grassland

4 Swamp

5 Crops

6 Shrubland

7 Built-up

8 Bare ground

9 Snow / Ice

Custom Clutter

11 Trees -

12 Trees +

13 Timber -

14 Timber +

15 Brick -

16 Brick +

17 Conrete -

18 Concrete +

19 Metal

Clutter Profiles

Premium users can define custom clutter profiles for regions eg. AFRICA.clt, POLAND.clt. These are saved within your folder as .clt files. VM users can add these locally by placing .clt files in the folder.

A .clt is a simple text format with tab delimiters and 3 columns: Code Height (m) and nominal Attenuation (dB/m).

The system default, Minimal.clt, looks like this. Code 10 is not used.

1	1	0.0
2	1	0.01
3	1	0.0
4	1	0.001
5	1	0.002
6	1	0.002
7	1	0.02
8	1	0
9	1	0
10	0	0
11	6	0.1
12	8	0.2
13	3	0.25
14	4	0.3
15	5	0.4
16	6	0.5
17	7	0.6
18	8	0.7
19	3	1.0