Aviation & UAS

Thanks to its architecture, ICS telecom EV is technology-neutral, meaning any type of system within the radio spectrum can be simulated and studied.

ICS telecom EV is a network planning solution for airport environments, that combines network planning and optimization functions. Advanced mobile features include:

  • GIS and cartography layers within 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 analysis can be managed within one project to verify the impact of one on another.

ICS telecom EV is the perfect choice for air traffic control organizations, which often have to integrate ground-to-ground services with ground-to-air services or 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.

Accurately plan and model the effect of wind turbines on radars

Challenge

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. It falls to companies like ATDI, using ICS telecom EV software, to ensure that air traffic control systems work effectively in the proximity of a wind farm. One of the potential problems is that the speed at which the tips of the turbines rotate. This interferes with a radar system resulting in inaccurate readings 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.

Solution

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

Wind turbines can cause an obstruction into communication network coverage by increasing the interfering signal power. This generally occurs when a signal is reflected by the wind turbine’s surface, which destructively interferes with the wanted signal. The analysis of effect of a windfarm on wanted signal can be performed by using a 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 user to test multiple points, using its effective cross section area for reflection and calculating the power of reflected signal into the existing station.

ATDI: Helping airports operate safely

Ground to Ground with Ground to Air services

Challenge

Air Traffic Control organizations need to mitigate the risk of interference from ground to ground services with ground to air services,  or even ensure compatibility with civilian services.

As a planner, some critical issues need to be accounted for,  such as the integrity and availability of aeronautical safety to avoid harmful interference into the system. This requirement can be delivered by ICS telecom EV, which has  the capability to simulate a host of services:  air traffic services to civilian services, aeronautical radio navigation service (ground to air) and an aeronautical telecommunication system (ground to ground).

Solution

ICS telecom EV supports every technology operating within the radio spectrum. This effectively means that analogue and digital technologies can be simulated using one software tool. The aeronautical propagation model in ICS telecom EV, is an add-on model to ATDI planning tools for use in the planning and coordination of aeronautical mobile systems. The model is compliant with ITU standards, and includes an optional model to account for terrain obstructions which could lead to excess losses in smooth Earth conditions.

ICS telecom EV is able to simulate a significant number of ground to air services and provides peace of mind that critical systems can be deployed effectively. ICS telecom EV supports the following 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 on a nationwide basis or at for an airport.

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-literation (MLAT - MSS-W/WAM)

Challenge

MLAT or multi-lateration is an advanced positioning system typically utilized in civil and military airports. The main purpose of this system is to accurately localize airplanes and/or assets on the surface of the airport (MSS-A) or within TMA and En-route (MSS-W/WAM), while maintaining a high level of precision, regardless of weather or visibility conditions.

MLAT for airport-surface positioning reduces the risk of collisions and accidents. Airports operate in a very busy environment, with increased likelihood of confusion when visibility is limited due to weather conditions. The further an aircraft flies 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 buildings, are less important in this case, given that the nominated sensors and interrogators have a good clearance and sky visibility. This is the reason why 3D data is not required for WAM simulations. While the WAM deployment approach is apparently similar to that at the airport surface, the calculations differ.

Solution

MSS-A sensors must operate in LOS conditions, which can be translated to 60% Fresnel Zone (FZ). The propagation model must be configured to predict LOS coverage only. Upon completion of coverage calculations, heat-maps are generated.

It should be note that MSS-A networks such as interrogator(s) and sensor devices are static. However, the transponder installed on the asset is mobile. As a result, every pixel within the airport is a potential transmitter that needs to be able to transmit the signal to a minimum of 4 sensors.

ICS telecom EV can assess the performance of every location by checking the profile of every pixel back to each sensor. An easy way to evaluate the requirement is to predict a coverage overlap. The locations with more than three overlaps are termed as good locations. Connection functions help the user manually inspect an aircraft location and display visually the sensors that can receive the signal.

To predict MSS-A accurately, the user needs to left click the ULC and LRC of the area to be evaluated. Select “Multilateration” and then “TODA H”. The ITU aeronautical propagation model P.528 is recommended for MSS-W predictions. It is also recommended to incorporate the diffraction effect in line with ITU-R P.526 Annex 1, section 4.4.2 to assist in predicting shadowing due to the surrounding terrain.

For MLAT accuracy predictions, use TDOA+TSOA method for TMA. The output from the TMA simulation is the poor performance achieved in some part of the airport. ICS telecom EV has two techniques to find identify optimum site locations for coverage: Find highest point and Site search.

ATDI: Accurately improving MLAT performance