Aviation & UAS


Aviation & UAS

Due to its architecture, ICS telecom EV istechnology-neutral and any type of system within the radio spectrum range can be simulated and studied.

ICS telecom EV is the first airport network planning solution that combines network planning and optimization functions. Its advanced mobile features include:

  • GIS and cartography layers at the airport

  • Propagation model toolbox

  • Coverage planning

  • Point to point/ Point to Multipoint link analysis (DL and UL)

  • Frequency planning and interference analysis

  • Land to air communication (VOR, ILS, MLAT, RADAR)

  • Aeronautical propagation model

  • FM and aeronautical coordination

  • Traffic analysis

  • Automated site planning

  • Automated site optimization

  • Automated frequency planning

Multi-technology analyses can be managed within the same project to check the impact of one on another.

This is why it is perfect choice for air traffic control organizations which often have to integrate ground-to-ground services with ground-to-air services or even ensure compatibility with Civilian services.

The available systems include but are not limited to: VOR, ILS, COM, Multilateration (TDOA, TSOA and mixed TDOA/TSOA), DME-DME, PMR communication networks, High-Altitude Platform Stations (HAPS) for analysis of DL and UL connectivity between HAPS and fixed service stations on the Earth (CPE and Gateways) to deliver broadband access.

Case studies

Accurately plan and model the effect of wind turbines on radars


The UK’s Civil Aviation Authority (CAA)recognizes that it takes an expert to accurately plan and model the effect of wind turbines on radio communications systems, particularly radars,and it falls to companies like ATDI with its ICS telecom EV software to ensure that air traffic control systems work effectively in the proximity of a wind farm. The potential problem is that the speed at which the tips of the turbines rotate can confuse a radar system and make it give an inaccurate reading for the position of an aircraft in flight. The effects of a windfarm should be evaluated before a windfarm is built and before a new network is deployed.


ATDI has planned and modelled the potential problems from wind farms for a number of developers and has given advice on mitigation techniques. Windfarms can be added to an ICS telecom EV project in a similar manner as a radio station and the effect of the wind turbine on radar performance can be predicted using “Wind turbine radar constraints function”.

Wind turbines can cause obstruction to communication network coverage by increasing the interfering signal power. This generally occurs when there is signal reflected by wind turbine’s surface that destructively interferes withthe wanted signal. The analysis of effect of windfarm on wanted signal can be performed by using Windfarm C/I map.

A point to point analysis can be performed for each receiver present on the map reporting the power of reflected signal level received from each wind turbine and emitted by each active transmitter using the “Wind Turbine interference” function.

The “Wind turbine test point reflection” function allows the ICS telecom EV user to test multiple points as wind turbine with its effective cross section area for reflection and calculate the power of reflected signal to the existing station.

ATDI:Helping airports operate safely

Ground to Ground with Ground to Air services


Air Traffic Control organizations needs mitigate Ground to Ground services with Ground to Air services or even ensure compatibility with Civilian services. As a planner, some critical issue needs to be accounted such as the integrity and availability of aeronautical safety to avoid harmful interference to the system. This demand can be delivered by ICS telecom EV, where it has the capability to simulate: air traffic services with regards to civilian services, an aeronautical radio navigation service (ground to air) and an aeronautical telecommunication system (ground to ground).


ICS telecom EV supports any type of technology operating within the radio spectrum. That effectively means that analogue and digital technologies can be simulated using one unique tool. The ATDI Aeronautical Propagation Model is an extension model to ATDI planning tools for use in the planning and coordination of aeronautical mobile systems. The model is compliant with ITU and includes an optional model in order to account for terrain obstructions that give rise to excess losses with respect to smooth Earth conditions.

ICS telecom EV is able to simulate a great range of ground to air services and ensures those critical systems can be deployed in the best possible way. The supported systems: VOR coverage - VHF Omni-directional range, ILS coverage - the Localizer array can be modelled as one single antenna if the equivalent pattern is known or as an array of antennas.

The software features different modes which can be used to assess the interference at a nationwide scale or at the airport scale.

ICS telecom EV is able to simulate different aspects of a radar network: radar coverage, radar interference on civilian networks, radar detection capacity. ICS telecom EV can automatically perform detection coverages at different heights in order to assess the performances of a radar system.

ATDI: Network planning made easy

Multi-lateration (MLAT - MSS-W/WAM)


MLAT or multi-lateration is an advanced positioning system typically utilized in civil and military airports. The main purpose of such system is to accurately localize Airplanes/assets on the surface of the Airport (MSS-A) or within TMA and En-route (MSS-W/WAM) while maintaining very high precision regardless of weather or visibility conditions. MLAT for airport-surface positioning requires high precision to avoid collisions and accidents. Airports can be very busy with increasing chance of confusion especially when visibility is limited due to weather conditions. The further you fly away from the airport the closer the sensors become in relation to the ranging distance. Hence not all of the Airport-surface sensors will add a value to the MSS-W system as the case of MSS-A. Airport structures such as builds are less important here given that the nominated sensors and interrogators have good clearance and sky visibility. Which is why 3D data is not required for WAM simulations. While WAM deployment approach is apparently similar to that at the Airport surface, the calculations are a bit different.


For MSS-A sensors must be operation in LOS conditions, which can be translated to 60% Fresnel Zone (FZ). Hence, the propagation model must be configured to predict LOS coverage only. Upon completion of coverage calculations, you expect to get the heat-map. MSS-A network such as Interrogator(s) and sensors devices are static. However, the transponder installed on the asset is mobile. Hence, every pixel within the Airport is a potential transmitter that need to be able to transmit the signal to a minimum of 4 sensors. ICS telecom EV tool can assess the performance of every location by checking the profile of every pixel back to every sensor. An easy way to evaluate the requirement is to predict coverage overlap. Hence, locations with better than 3 overlaps can be classified as good locations. Connections function helps the user inspect manually an Airplane location and display visually the sensors that can possibly receive the signal. To predict MSS-A accurate by left click at ULC and LRC of the area that need to be evaluated. Select “Multilateration” and then “TODA H”. Aeronautical propagation model such as ITU-R P.528 is recommended for MSS-W predictions. It is also recommended to incorporate diffraction effect as that of ITR-R P.526 Annex 1, section 4.4.2 to assist in predicting shadowing effect due to surrounding terrain. For MLAT accuracy predictions use TDOA+TSOA method for TMA. One thing can be easily deduced from TMA simulation is the poor performance in some part of the Airport. ICS telecom EV has two techniques to find optimum site location for coverage: Find highest point and Site search.

ATDI: Accurately improve MLAT performance is the key

Drone management - Windfarms - Radars- ILS - VOR - DME - MLS - Flight path - Multilateration - L-DACS1