FreeScopes ATC II — Advanced Tracking, Prediction and Radar Processing
FreeScopes ATC II
FreeScopes ATC II extends the surveillance-oriented processing introduced in ATC I into advanced target tracking, prediction and configurable radar-processing chains. Trainees work with Kalman filtering, Doppler and zero-velocity filters, clutter maps, iMM and matched filtering to understand how more advanced radar-processing methods improve target interpretation.
The module provides the next training step from moving-target detection and plots/tracks toward advanced tracking and radar-processing concepts.
Designed for ATSEP training, military radar academies, universities and radar-engineering laboratories using supported radar, simulator or replayed datasets.
Study Pulse-Compression Processing — Apply matched filtering to suitable radar, simulator or replayed data.
Move from Detection to Tracking and Prediction
FreeScopes ATC II develops the surveillance workflow beyond detections, plots and tracks. Trainees assemble advanced processing chains, compare filtering approaches and examine how prediction supports target association between radar scans.
The module is designed for instruction and analysis. Results depend on the connected radar, simulator or replayed dataset and on the functions included in the current build.
What Trainees Do
Build a tracking chain with Signal Detection, Phase Shift Detection, Association and Kalman filtering
Investigate prediction and association between consecutive radar scans
Compare Doppler and zero-velocity filtering
Create and subtract clutter maps
Compare Kalman and iMM / IMM tracking for manoeuvring targets
Work with signal-delay and delay-line-canceller concepts
Use History Map views to review target behaviour
Apply matched filtering to suitable pulse-compression radar, simulator or replayed data
Main Functions
Tracking and Association
Signal Detection (DET) preprocessing
Phase Shift Detection (PH-DET)
Association (ASO)
Kalman Filter (KF)
Doppler and Clutter
Doppler Filter
Zero Velocity Filter (ZVF)
Clutter Map
Clutter Map Subtraction
Advanced Tracking
iMM / IMM — Interactive Multiple Model
History Map
Delay and Pulse Compression
Signal Delay
Delay Line Canceller concepts
Matched Filter
Pulse-Compression Processing for suitable radar, simulator or replayed data
Where It Fits
Basic I → Basic II → ATC I → ATC II
ATC II is the advanced tracking and prediction step in the FreeScopes learning path. It builds on the moving-target detection, plots and tracks introduced in ATC I.
Prerequisites
FreeScopes Basic I
FreeScopes Basic II
FreeScopes ATC I
A supported radar, SkySim Radar Simulator or approved replayed dataset
Who It Is For
ATSEP instructors and technical training centres
Military radar academies
Universities and applied radar programmes
Radar-engineering and signal-processing laboratories
Learning Outcomes
After completing the module, trainees can explain how detection, phase-shift analysis, association and prediction form a tracking chain; compare Kalman and iMM / IMM approaches; interpret Doppler and zero-velocity filtering; construct and subtract clutter maps; and explain matched filtering for suitable pulse-compression training data.
Advanced disturbance-filtering and analysis training.
Build Advanced Tracking and Radar-Processing Skills
Use FreeScopes ATC II to connect target association, prediction, Doppler processing, clutter handling and matched filtering in one practical training path.
Study Pulse-Compression Processing — Apply matched filtering to suitable radar, simulator or replayed data.
Move from Detection to Tracking and Prediction
FreeScopes ATC II develops the surveillance workflow beyond detections, plots and tracks. Trainees assemble advanced processing chains, compare filtering approaches and examine how prediction supports target association between radar scans.
The module is designed for instruction and analysis. Results depend on the connected radar, simulator or replayed dataset and on the functions included in the current build.
What Trainees Do
Build a tracking chain with Signal Detection, Phase Shift Detection, Association and Kalman filtering
Investigate prediction and association between consecutive radar scans
Compare Doppler and zero-velocity filtering
Create and subtract clutter maps
Compare Kalman and iMM / IMM tracking for manoeuvring targets
Work with signal-delay and delay-line-canceller concepts
Use History Map views to review target behaviour
Apply matched filtering to suitable pulse-compression radar, simulator or replayed data
Explore Kalman filtering, Doppler and zero-velocity filters, clutter maps, iMM / IMM, signal-delay processing and matched filtering in an advanced radar-training workflow.
Training Advantages
Track and Predict Targets — Use Kalman filtering to smooth, update and predict target tracks.
Work with Doppler — Isolate target responses by relative velocity and compare Doppler-oriented results.
Separate Stationary Clutter — Apply zero-velocity filtering, clutter maps and clutter-map subtraction.
Follow Manoeuvring Targets — Compare Kalman and iMM / IMM approaches for changing target motion.
Study Pulse-Compression Processing — Apply matched filtering to suitable radar, simulator or replayed data.
Move from Detection to Tracking and Prediction
FreeScopes ATC II develops the surveillance workflow beyond detections, plots and tracks. Trainees assemble advanced processing chains, compare filtering approaches and examine how prediction supports target association between radar scans.
The module is designed for instruction and analysis. Results depend on the connected radar, simulator or replayed dataset and on the functions included in the current build.
What Trainees Do
Build a tracking chain with Signal Detection, Phase Shift Detection, Association and Kalman filtering
Investigate prediction and association between consecutive radar scans
Compare Doppler and zero-velocity filtering
Create and subtract clutter maps
Compare Kalman and iMM / IMM tracking for manoeuvring targets
Work with signal-delay and delay-line-canceller concepts
Use History Map views to review target behaviour
Apply matched filtering to suitable pulse-compression radar, simulator or replayed data
Main Functions
Tracking and Association
Signal Detection (DET) preprocessing
Phase Shift Detection (PH-DET)
Association (ASO)
Kalman Filter (KF)
Doppler and Clutter
Doppler Filter
Zero Velocity Filter (ZVF)
Clutter Map
Clutter Map Subtraction
Advanced Tracking
iMM / IMM — Interactive Multiple Model
History Map
Delay and Pulse Compression
Signal Delay
Delay Line Canceller concepts
Matched Filter
Pulse-Compression Processing for suitable radar, simulator or replayed data
Where It Fits
Basic I → Basic II → ATC I → ATC II
ATC II is the advanced tracking and prediction step in the FreeScopes learning path. It builds on the moving-target detection, plots and tracks introduced in ATC I.
Prerequisites
FreeScopes Basic I
FreeScopes Basic II
FreeScopes ATC I
A supported radar, SkySim Radar Simulator or approved replayed dataset
Who It Is For
ATSEP instructors and technical training centres
Military radar academies
Universities and applied radar programmes
Radar-engineering and signal-processing laboratories
Learning Outcomes
After completing the module, trainees can explain how detection, phase-shift analysis, association and prediction form a tracking chain; compare Kalman and iMM / IMM approaches; interpret Doppler and zero-velocity filtering; construct and subtract clutter maps; and explain matched filtering for suitable pulse-compression training data.
Advanced disturbance-filtering and analysis training.
Build Advanced Tracking and Radar-Processing Skills
Use FreeScopes ATC II to connect target association, prediction, Doppler processing, clutter handling and matched filtering in one practical training path.
Study Pulse-Compression Processing — Apply matched filtering to suitable radar, simulator or replayed data.
Move from Detection to Tracking and Prediction
FreeScopes ATC II develops the surveillance workflow beyond detections, plots and tracks. Trainees assemble advanced processing chains, compare filtering approaches and examine how prediction supports target association between radar scans.
The module is designed for instruction and analysis. Results depend on the connected radar, simulator or replayed dataset and on the functions included in the current build.
What Trainees Do
Build a tracking chain with Signal Detection, Phase Shift Detection, Association and Kalman filtering
Investigate prediction and association between consecutive radar scans
Compare Doppler and zero-velocity filtering
Create and subtract clutter maps
Compare Kalman and iMM / IMM tracking for manoeuvring targets
Work with signal-delay and delay-line-canceller concepts
Use History Map views to review target behaviour
Apply matched filtering to suitable pulse-compression radar, simulator or replayed data
