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.
Study radar range, Pd, Pfa, range resolution, antenna behavior, and waveform effects on detection performance.
Analyze barrage, spot, and deception jamming on radar scopes (PPI, A-scope, B-scope) and observe target masking and ghost targets.
Simulate active reflectors and generate false/ghost targets; study radar confusion and interference effects.
Perform ECCM experiments using MTI, MTD, clutter maps, RGPO detection, Kalman filter, and Doppler-phase filtering to counter electronic attacks.
Explore Doppler shift, moving target indication, and target velocity estimation in the presence of jamming.
Analyze range-gate pull-off deception techniques and evaluate radar’s ability to detect and counter them.
Use spectrograms and I/Q data to detect jamming signatures, classify jamming types, and analyze radar waveforms.
Configure moving/static targets with variable RCS, velocity, and elevation; observe radar tracking accuracy under ECM/ECCM conditions.
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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