Trusted Electromagnetic Simulation for Radar, Stealth, and Platform Integration

Electromagnetic systems are critical to modern defence missions — from radar performance and antenna survivability to stealth platforms and dynamic beam steering. TICRA provides defence engineers and analysts with proven electromagnetic simulation software to validate antenna behaviour, reduce radar signatures, and understand complex platform effects with confidence.

Radar cross section simulation of a fighter jet with polar plot visualising directional radar signature.

RCS Prediction and Signature Control

Run validated monostatic and bistatic RCS simulations using MoM, MLFMM, and Fast Direct Solvers. Simulate multi-material structures — including PEC, RAM (Radar Absorbing Materials), and radomes — to reduce radar visibility in design. Supports analysis of stealth platforms, including aircraft, drones, missiles, and naval systems.

Explore RCS prediction capabilities

Radar Arrays and AESA Beamforming

Design and evaluate phased array radars for mission-critical defence systems. Simulate embedded element patterns, scan performance, and mutual coupling with high accuracy and speed — for both planar and conformal arrays. From layout to validation, engineers gain full control over array behaviour and optimisation using TICRA’s validated full-wave solvers.

Learn more about array antenna simulation

3D model of a phased radar array with hexagonal antenna elements used for layout and performance analysis.
Platform simulation of a military vehicle showing antenna placement and electromagnetic field distribution.

Platform Integration & EW Effects

Model how complex platforms — aircraft, ships, or ground systems — influence installed antenna performance. Simulate gain, coupling, blockage, and pattern distortion to optimise integration and evaluate EW performance at any stage.

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Radome and Frequency-Selective Structure Design

Predict transmission loss, polarisation effects and beam deflection before deployment. Simulate the impact of radomes and frequency-selective surfaces (FSS) on installed performance. Supports co-optimisation of antenna systems and protective layers under real-world conditions.

Understand radome and FSS impact

Future Outlook: AI/ML for Beamforming

TICRA is exploring advanced use of machine learning to support rapid beamforming optimisation, especially in large phased array configurations. This enables faster adaptation across frequency bands and scan angles — a future capability aimed at reducing computational cost in complex defence applications.

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Contact us

Let’s talk about your mission-critical RF challenge. Whether you're developing next-generation radar arrays, reducing platform signatures, or validating installed performance, our experts are ready to support your defence project with trusted electromagnetic simulation.

Oscar Borries

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