The future of wireless communication and radar system design simulation is here with Ansys Perceive EM radio frequency channel and radar signature simulation software, a revolutionary electromagnetic solver engine that delivers accurate, scalable, physics-based simulations. As 5G/6G, advanced radar systems, and autonomous applications push traditional design methods to their limits, Perceive EM software redefines what’s possible by leveraging NVIDIA accelerated computing for up to 1 million times faster simulation versus traditional x86 CPU-based solvers and integrating with NVIDIA Aerial Omniverse Digital Twin (AODT) to enable system-level simulation for testing and fine-tuning new artificial intelligence/machine learning (AI/ML) models in radio signal processing. More than just another solver, it’s a game-changer, built from the ground up to tackle the complexities of modern electromagnetic environments, enabling the industry to accelerate the development of AI-native wireless networks.
Key features:
- High-fidelity simulation: Accurately model how electromagnetic waves interact with the environment, materials, and scenarios. This means that you can trust your simulations to reflect real-world conditions.
- Unprecedented performance: Produces real-time, scalable, high-quality datasets for training AI/ML algorithms.
- Enabling solutions: Delivered as a lightweight application programming interface (API), it is designed for flexibility and integration into any workflow.
- System-level simulation with AODT: Deliver an AI/ML-based system-level simulation and design beyond just radio component level.
Realistic urban scenario with 512 mobile user equipment instances deployed
Radar sensing: synthetic aperture radar (SAR) video of a complex urban environment generated by Ansys Perceive EM radio frequency channel and radar signature simulation software
Enabling Accurate Real-World Extraction for Communications and Radar Sensing Applications
Designing robust wireless networks and radar systems means understanding how signals behave in the real world, not just in idealized scenarios. Perceive EM software excels at this “real-world extraction,” providing engineers with the insights they need to overcome challenges like interference, signal blockage, and environmental variations. Here’s how:
- Shooting and bouncing rays (SBRs) technology: Leveraging advanced geometrical and physical optics to propagate EM fields as they scatter through complex environments.
- MIMO antenna systems: Fully supports multichannel simulation for multiple-input, multiple-output (MIMO) antenna systems, the backbone of modern high-speed communication networks. You can optimize antenna placement and beamforming strategies for maximum performance.
- Every detail counts: Perceive EM software accounts for a comprehensive range of factors that impact signal quality, including multipath effects, phase noise, material properties, and surface roughness, supporting realistic geometries represented by millions of triangles.
- Dynamic scenarios: Simulates complex scenarios involving movement, obstructions, and environmental factors.
Simulation of how a 6G signal propagates through a dense urban area with buildings, vehicles, and moving users
A flexible application programming interface (API) enables artificial intelligence (AI)-powered workflows: demonstration of how deep learning-based semantic segmentation can be used to efficiently label electromagnetic properties in the digital twin environment, adding additional realism to environments
Fast Simulations Powered by NVIDIA Accelerated Computing
Speed matters when designing next-generation technologies like 6G networks or radar systems. Traditional CPU-based simulations can take weeks or even months to complete. That’s where Perceive EM software shines — leveraging NVIDIA GPU acceleration to deliver results in near real time.
- Massive speedups: Complex simulations that once took weeks or even months can now be completed in nearly real time, dramatically accelerating the design cycle. Experience performance gains up to 1 million times faster than traditional x86 CPU-based solvers, unlocking new possibilities for design exploration and optimization.
- Scalability for massive environments: Multi-GPU support with linear scaling allows you to simulate vast, complex environments with millions of elements without sacrificing performance. Think of entire cityscapes, not just individual buildings. Analyze thousands of channels for advanced antenna systems, enabling the design of high-capacity, reliable communication networks.
Seamless Integration: The API Advantage
Perceive EM software isn’t just powerful — it’s designed for flexibility and integration. Its lightweight API (available in C++ and Python) enables you to seamlessly incorporate its capabilities into your existing workflows or build entirely new applications:
- Easy integration: The lightweight API is designed for ease of use, whether you’re building stand-alone applications or embedding Perceive EM software's physics-based modeling into other platforms.
- Powering third-party platforms: Bring the accuracy of Perceive EM software’s wireless channel and radar simulations to your preferred design tools and environments.
- The foundation for digital twins: Perceive EM software is a key enabler for creating realistic digital twins, allowing predictive modeling, scenario analysis, and AI-driven optimization.
With the Perceive EM API, simulation parameters provide a convenient setup of simulation scenarios.
Real-World Impact: The NVIDIA Aerial Omniverse Digital Twin
To truly illustrate the power of Perceive EM software, let’s look at a groundbreaking real-world application: its integration with AODT, an advanced system-level simulation platform for 5G and 6G research and development (R&D), enabling users to test, validate, and fine-tune new AI models for radio signal processing. By integrating Perceive EM simulated channels into the AODT radio access network (RAN) digital twin with cuPHY and cuMAC layers of the NVIDIA CUDA®-Accelerated RAN platform, realistic system-level performance testing for new AI/ML-based wireless algorithms can be achieved. This integration enables:
- A unified solution: Developers can leverage the Perceive EM solver within the NVIDIA AODT platform to further their AI-native wireless networks R&D. The same platform also includes NVIDIA Aerial CUDA Accelerated RAN Layer 1 software, which enables real-time simulation and validation of advanced 5G and 6G radio component design before deploying in real-world scenarios.
- Synthetic data at scale: Generate massive datasets of high-quality, labeled synthetic data for training ML models, accelerating the development of AI-powered communication and radar systems. This includes not just EM data for the radio environment but RAN data from the physical layer, generated through NVIDIA Aerial CUDA-Accelerated libraries in AODT.
- Rapid prototyping and optimization of AI/ML algorithms: AODT provides a platform for rapidly prototyping and testing 6G network designs at a system level, enabling engineers to optimize radio network coverage, capacity, and resilience. This is particularly powerful for testing and fine-tuning new AI/ML-based radio algorithms, such as AI-based channel estimation.
The integrated Perceive EM solver in the NVIDIA Aerial Omniverse Digital Twin (AODT) platform. The AI radio access network (RAN) trained on site-specific synthetic data generated by Perceive EM software to predict channel aging in high-speed user equipment.
Discover Unparalleled Speed and Scalability
Perceive EM software isn’t just another simulation tool — it’s a transformative technology that empowers engineers to solve some of the most complex challenges in wireless communication and radar design. From its unparalleled speed powered by NVIDIA accelerated computing to its seamless API integration and groundbreaking use cases like the Aerial Omniverse Digital Twin, Perceive EM software is setting new standards for accuracy, efficiency, and scalability, enabling AI-native wireless networks.
