Modern ATSEP training connects real CNS hardware, radar, simulation and system monitoring so trainees can learn by measuring, processing and troubleshooting.
What does a modern ATSEP training laboratory need to achieve?
Air Traffic Safety Electronics Personnel work with the technical systems behind safe and reliable air navigation services. Their qualification therefore cannot stop at knowing what a communication, navigation, surveillance or data-processing system is supposed to do. Trainees also need to understand how signals, data, equipment and monitoring functions interact — and what happens when one part of the chain no longer behaves as expected.
ICAO Doc 10057 provides guidance for competency-based training and assessment of ATSEP and identifies qualification-training domains including Communication (COM), Navigation (NAV), Surveillance (SUR), Data Processing/Automation (DPR) and System Monitoring and Control (SMC).
For an aviation academy, the practical question is therefore not simply:
“How do we teach the individual systems?”
It is also:
“How do we let trainees measure, configure, process, monitor and troubleshoot the technical chain themselves?”
This is the principle behind SkyRadar's modular ATSEP training environment: combine physical CNS hardware, a real training radar, reproducible simulation, browser-based signal and data processing, and system monitoring in one expandable laboratory architecture.
Why hands-on training matters for ATSEP qualification
ATSEP qualification is different from purely academic engineering education. The trainee must connect technical principles with the behaviour of real systems and with the consequences of configuration changes, degraded signals, data-flow problems and equipment failures.
A useful laboratory therefore needs more than presentation slides or fixed demonstrations. It should allow trainees to work through a technical chain themselves:
Physical signal → measurement → processing → data → system behaviour → monitoring → troubleshooting
The same principle applies across the major ATSEP domains. In surveillance, the trainee can follow a radar return from the physical measurement through detection, plots, tracks and structured surveillance data. In communication, a voice signal can be followed through RF or IP transport and controlled impairments. In navigation, timing, phase, delay and propagation can be related to navigation-oriented measurements. In system monitoring and control, technical objects can be monitored, faults introduced and their effects analysed.
The objective is not to reproduce an operational airport or air navigation service in the classroom. It is to make the underlying technical behaviour observable, repeatable and understandable.
One laboratory, five connected ATSEP domains
A modular training architecture becomes particularly useful when the same hardware, simulator and software environment can support several qualification domains rather than creating isolated laboratories for every subject.
| ATSEP domain | Practical training focus | SkyRadar training environment |
| SUR | Radar signals, detection, plots, tracks, surveillance data and ASTERIX-oriented workflows | NextGen 8 GHz Pulse Radar, SkySim, FreeScopes Basic I–V, ATC I and ATC II, CNS Hardware Trainer |
| COM | Voice signals, modulation, RF communication, IP communication, latency, jitter and packet loss | CNS Hardware Trainer, FreeScopes Basic III, IV and VI |
| NAV | Timing, delay, phase, frequency, propagation, GNSS and navigation-system principles | CNS Hardware Trainer, FreeScopes Basic III, IV and VII |
| DPR | From sensor output to detections, plots, tracks, structured surveillance data and downstream processing | FreeScopes Basic V, ATC I and ATC II, SkySim and supported surveillance-data workflows |
| SMC | Monitoring, control, system status, fault scenarios and troubleshooting | SkySMC connected to training hardware, simulated systems and supported infrastructure |
The important point is not that every module is used identically in every domain. It is that trainees can move between domains while retaining a common technical environment and a common understanding of signals, data and system behaviour.
SUR: start with a real radar signal
Surveillance becomes easier to understand when the trainee can start with an actual radar measurement rather than only with a finished track on a display.
The SkyRadar NextGen 8 GHz Pulse Radar provides this physical starting point. Trainees can observe radar echoes, range, clutter, target movement and signal-processing effects in a controlled laboratory environment.
FreeScopes Basic I and II then allow trainees to work with the radar signal itself: visualising returns, applying processing functions and examining how range, Doppler, thresholds, clutter and target properties affect the result.
The learning chain can progress further:
Radar echo → detection → plot → track → surveillance data → downstream processing
FreeScopes Basic V provides the bridge from radar and sensor output into surveillance and ATM-oriented data workflows. Trainees can compare detections, plots and tracks, inspect supported structured surveillance data and work with ASTERIX-related concepts where included.
FreeScopes ATC I and FreeScopes ATC II extend this path into moving-target detection, clutter handling, plots and tracks, Kalman filtering, Doppler-oriented processing and advanced tracking concepts.
This allows an academy to teach surveillance as a technical chain rather than as a collection of disconnected definitions.
Why combine a real radar with SkySim?
A real radar and a simulator solve different training problems.
The physical radar exposes trainees to real targets, antennas, propagation, clutter and environmental effects. These measurements contain the variability that belongs to a real RF environment.
SkySim, by contrast, generates reproducible radar scenarios and simulated IQ data. An instructor can repeat the same scenario, change selected parameters and compare the processing result under controlled conditions.
This creates an effective teaching combination:
- Live radar for physical measurement and real-world variability
- SkySim for repeatability, parameter control and assessment
- FreeScopes for a common processing and visualisation environment
The trainee can therefore study a concept under controlled simulated conditions and then compare it with measurements from physical radar hardware. Simulation complements the real system rather than replacing it.
COM: follow communication from the signal to the network
Communication training should make it possible to follow information through the technical chain rather than treating radio and IP communication as unrelated topics.
The SkyRadar CNS Hardware Trainer provides the physical training layer for supported COM, NAV and SUR exercises. Physical interfaces and signal paths can be connected to FreeScopes for measurement, processing and visualisation.
For communication, FreeScopes Basic VI extends the signal-processing and RF foundations into communication-system workflows. Trainees can work with voice and audio signals, supported RF communication, VoIP concepts and controlled network impairments such as latency, jitter and packet loss.
A representative learning chain becomes:
Voice source → signal processing → RF or IP transport → controlled impairment → reception → quality analysis
This helps trainees connect physical-layer effects with network behaviour and understand how different technical faults can influence the same operational communication objective.
NAV: make timing, phase and propagation measurable
Navigation systems rely on physical quantities that can appear abstract when taught only as diagrams: propagation delay, timing references, phase, frequency, synchronization and multipath.
FreeScopes Basic VII applies the signal-processing and RF foundations of the earlier FreeScopes modules to navigation and timing workflows. Together with the CNS Hardware Trainer, trainees can investigate supported GNSS and synchronization exercises, timing offsets, delay, phase and frequency relationships, propagation effects and navigation-system principles.
The purpose is not to turn a classroom trainer into an operational ILS, VOR or DME installation. It is to make the underlying signal and measurement principles visible so that trainees understand why navigation equipment behaves as it does.
A typical learning progression is:
Signal generation → timing / phase relationship → propagation / delay → reception → measurement → interpretation
This gives the trainee a physical and analytical foundation before moving to equipment-specific qualification and operational maintenance procedures.
DPR: understand what happens between the sensor and the displayed track
Data Processing and Automation is where individual signals and sensor outputs become structured information.
For surveillance-oriented DPR training, the important educational step is to expose the intermediate stages rather than presenting the final surveillance picture as a black box.
FreeScopes Basic V, ATC I and ATC II allow trainees to investigate the progression from detections to plots and tracks, examine tracking behaviour and relate radar-processing results to structured surveillance information and downstream workflows.
This is particularly valuable because it lets the trainee ask concrete technical questions:
- What is the difference between a detection, a plot and a track?
- How does clutter handling influence the surveillance picture?
- What happens when detections are unstable or missing?
- How does target association affect track continuity?
- How does a tracking filter estimate and predict target state?
- How is surveillance information represented for downstream systems?
The objective is not operational ATC automation. It is to make the processing chain understandable and experimentally accessible to the ATSEP trainee.
SMC: training should include faults, not only normal operation
A system can be understood much more deeply when the trainee sees what happens when it fails.
SkySMC provides the System Monitoring and Control layer of the SkyRadar ATSEP environment. It can connect supported training hardware, virtual or simulated objects and technical infrastructure into monitoring and troubleshooting exercises.
Trainees can work with system status, monitoring views, technical parameters and controlled fault scenarios. This makes it possible to connect a fault with its observable consequences rather than learning troubleshooting only as a written procedure.
The training chain becomes:
Normal state → fault or degradation → monitoring indication → diagnosis → technical response → verification
This is especially important for SMC because monitoring is not an isolated subject. A surveillance, communication, navigation or data-processing problem can become an SMC problem as soon as the technical system must detect, localise and respond to the abnormal condition.
FreeScopes Basic I–VII: building the technical foundation across CNS
The FreeScopes Basic I–VII series provides a progressive technical foundation that connects radar, digital signal processing, RF, surveillance, communication and navigation.
| Module | Primary learning focus | Connection to ATSEP training |
| Basic I | Radar control, displays and first DSP steps | SUR foundation |
| Basic II | 2D radar processing, range/Doppler, RCS and visualisation | SUR and radar-processing foundation |
| Basic III | Digital signal-processing foundations | Cross-domain foundation for SUR, COM and NAV |
| Basic IV | RF, antennas and propagation | Cross-domain RF foundation |
| Basic V | Surveillance and ATM integration | SUR and DPR |
| Basic VI | Communication systems | COM |
| Basic VII | Navigation and timing | NAV |
The value of this progression is continuity. A trainee who first learns to inspect a waveform, spectrum, delay or phase relationship can later recognise the same physical and signal-processing concepts inside a surveillance, communication or navigation exercise.
Where does AI fit into ATSEP training?
Artificial intelligence deserves a clear distinction in the context of ATSEP qualification.
AI is not currently a qualification-training domain defined in ICAO Doc 10057 alongside COM, NAV, SUR, DPR and SMC. It should therefore not be presented as though it were an ICAO Doc 10057 qualification requirement.
Nevertheless, AI is becoming increasingly relevant to the technical environment in which future aviation engineers and ATSEP will work. For an academy, this creates a useful opportunity: teach AI as an additional technical competence built on top of the established signal, data and system foundations.
FreeScopes AI I allows trainees to work with radar or simulator data, create labelled datasets, construct neural-network workflows visually, train models and evaluate their results without first requiring a programming course.
This is particularly valuable after the trainee already understands where the data comes from.
Measurement → data → labels → model → result → evaluation
The educational question is not simply whether AI can produce an answer. It is whether the trainee understands the data, the training process, the limitations of the model and the evidence behind the result.
In this way, AI can extend an ATSEP academy's technical curriculum without being confused with the current ICAO qualification syllabus.
Why one connected training environment is valuable for an aviation academy
COM, NAV, SUR, DPR and SMC are separate qualification domains, but the technical systems behind them are increasingly interconnected.
A connected laboratory allows an academy to teach both the individual disciplines and the interfaces between them.
A radar measurement can become a detection, a plot, a track and structured surveillance data. That data can be transported through a network, consumed by another system and monitored by SMC. A communication exercise can demonstrate both RF degradation and packet-network impairment. A navigation exercise can connect timing and propagation to system-level measurements. A simulator can provide repeatable conditions before trainees move to physical hardware.
The result is a laboratory in which the trainee can repeatedly move between three levels:
- Physical level — hardware, signals, RF, timing and measurements
- Processing level — DSP, detection, tracking, data and software behaviour
- System level — interfaces, monitoring, faults and troubleshooting
This is closer to the way technical competence is actually used than a collection of isolated demonstrations.
From equipment knowledge to system competence
The central challenge for an ATSEP training academy is not simply to provide more equipment. It is to create exercises in which equipment, signals, data and system behaviour become part of one understandable learning chain.
SkyRadar's approach combines the CNS Hardware Trainer, NextGen 8 GHz Pulse Radar, SkySim, SkySMC, FreeScopes Basic I–VII and FreeScopes ATC I–II so that trainees can work progressively from physical measurements to processing, surveillance data and system monitoring.
The architecture can therefore support the major civil-aviation technical domains:
COM • NAV • SUR • DPR • SMC
AI can then be added as a further educational layer — not as a replacement for established ATSEP competencies and not as a current ICAO Doc 10057 qualification domain, but as a way to prepare technical personnel to understand and critically evaluate emerging data-driven methods.
The objective is straightforward: ATSEP should not only know what a CNS/ATM system does. They should be able to follow how it works.
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