Defence Technology
Electronic Warfare Laboratory
About Product
The Electronic Warfare Simulator Laboratory is a complete radar and jamming training platform that simulates radar operations, ECM, and ECCM techniques without emitting real RF signals. It provides realistic radar modelling, noise and deception jamming, advanced ECCM filters, signal processing tools, and a high-performance server with a master controller for full control of radar parameters, targets, and jamming scenarios.
Simulates radar parameters such as detection probability, false alarm rate, range, resolution, antenna lobes, and waveform modulation. Supports static and moving targets with customizable trajectories.
Emulates noise, deception, active target jamming, barrage jammers, spot jammers, repeater jamming, and range deception inside the radar’s I/Q data stream—without emitting RF energy.
Includes clutter maps, MTI, MTD, Doppler phase shift, Kalman filtering, RGPO detection, and multiple ECCM algorithms for analyzing and countering jamming attacks.
Provides spectrograms, I/Q data, power detection, and jamming visualization via FreeScopes. Output supports MATLAB integration through SDK.
Allows control of radar type, antenna rotation speed, radar frame rate, jamming type, radar elevation, frequency agility, and target characteristics.
Comes with a dedicated high-performance rack-mounted server to run the simulation, ensuring smooth processing of radar and jamming data.
Simulates complete radar behavior including Pd, Pfa, range, resolution, antenna lobes, and waveform parameters like PRF and pulse width. Supports static/moving targets and multiple radar types (Pulse, Pulse Compression, Pulse-Doppler, FMCW).
Emulates noise, deception, spot, barrage jammers, and active targets directly in the radar’s I/Q data stream without emitting RF. Jammers automatically match radar parameters such as PRF, PRI, pulse width, and frequency.
Includes MTI, MTD, Doppler shift analysis, clutter maps, Kalman filters, and RGPO detection for identifying and countering jamming. Provides advanced filtering to distinguish genuine echoes from deceptive signals.
Generates timestamped JSON I/Q data with spectrogram visualization for waveform and jamming analysis. Fully compatible with FreeScopes and MATLAB integration using the provided SDK.
Runs on a high-performance Ryzen 9 server with 32 GB RAM, SSD storage, Radeon GPU, and 750W PSU, housed in a 19-inch rackmount chassis. Ensures smooth real-time radar and jamming simulation processing.
Allows control of radar parameters, antenna rotation, elevation, frame rate, frequency agility, and jamming type/power. Provides selection of radar modes, target trajectories, RCS, velocity, and system updates.
Noise in radars
Noise suppression in Freescopes
Adding targets in Freescopes to simulate different use cases
Radar antennas
Antenna classification
Antenna Beam
Antenna Beamwidth
Antenna PolarizationTraining topic: Radar Cross Section (RCS)
Training topic: Radar properties
Range of the radar
Range resolution of the radar
Clutter map subtraction
Training topic: Moving target indication (MTI) and Moving target detection (MTD)
Training topic: Detection Probability and False Alarm Rate
Training Topic: Jamming
Task 1: Spot Jamming
Task 2: Barrag Task 1: Spot Jamminge Jamming
Task 3: Influence of Jamming Power on the detected targets
Task 4: Understand the effect of RCS in jamming
Task 5: Frequency agility in jammingDeception jamming
Range deception jamming
Jamming Detection Algorithms
Barrage Jamming Detection
RGPO Detection Algorithm
Prediction-based RGPO Detection Algorithms deploying Plots & Tracks 42
Evaluate the performance of the MTI EDF without RGPO data
Evaluate the performance of the MTI EDF with RGPO data
Evaluate the performance of the MTI EDF with RGPO data with a target velocity over 0.45 m/s.
Evaluate the performance of the MTI EDF with RGPO data on multiple targets.
MTI EDF with FMCW simulator.Clutter-Map Enhanced Disturbance Filter
MTD Enhanced Disturbance Filter
Evaluate the performance of the MTD EDF with RGPO data on multiple targets
Enhanced Kalman Disturbance Filter
Doppler Phase Shift Enhanced Disturbance Filter
Plots & Tracks Enhanced Disturbance Filter
Statistical and Adaptive Signal Processing SASP Deception Detect
With 35 years of legacy in Technical Education, Akademika extends its expertise to Defence and Skill development, building Innovative, Reliable Training Systems for the next generation of Learners.
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