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Understanding the Big Picture of EASA's Easy Access Rules, EU Regulation 2017/373 And What it Means for ATSEP Qualification

EU Regulation 2017/313 brought clarity and specified 21st century requirements to technology as well as precisely described the requirements for service providers in terms of ATSEP training and competence assessment. This article examines the wider context and summarises the implications for ATSEP qualification.

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Cleaning Radar Signals in the A-Scope

We prerecorded a person's movements in front of the NextGen Radar. In replay mode, we show step-by-step how to clean the signal.

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FreeScopes Recording and Replay Features (Video)

SkyRadar now offers a recording and replay feature to record IQ data log files from live recordings, or from a blend of live data and superimposed simulated data (e.g. disturbances or deception through jamming).

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Transition From Aeronautical Information Service to Aeronautical Information Management

Aeronautical Information Service in digital form represent the Aeronautical Information Management Concept. AIM is the integrated management of AIS data.

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SYSTEM-WIDE INFORMATION MANAGEMENT SYSTEM

System-Wide Information Management harmonizes the exchange of Aeronautical, Flight and Weather information vital for air navigation with its stakeholders.

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AVOIDING SYSTEM DOWNTIME THROUGH REMOTE MONITORING SYSTEMS

This article explains how rigorous and effective monitoring of ATC infrastructure helps detecting early warning signs of a problem.

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CHALLENGES OF DOWN-TIMES OF SYSTEMS IN ATC

This article describes the challenges of down-times in Air Traffic Control.

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iMM Tracking - Extension of the Kalman Filter on Lateral Positions

Apart of the linear Kalman filter, SkyRadar also presents an implementation of the interacting multiple model (iMM) filter for object tracking.

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Tracking for Pulse Radars – the Kalman Filter

One of the most powerful statistical estimation techniques, which is widely applied in navigation, radar tracking, satellite orbit determination, autonomous driving, and many other fields is the Kalman filter. This digital filter provides a quite accurate estimation of the next state (position, movement, temperature, etc.) from any possible noisy input signal, in real time, which makes it very suitable for radar navigation and tracking purposes.

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