ISACSim 3D Ray-Tracing Electromagnetic Waveform & Multipath Simulation

ISACSim provides GPU-accelerated shooting-and-bouncing ray (SBR) electromagnetic simulation engines for complex 6G environments, modeling multi-bounce reflections, diffuse scattering, and target micro-Doppler.

ISACSim GPU Ray-Tracing & Propagation Engine

ISAC Core: ISACSim Core — GPU Ray-Caster & SBR Waveform Engine

6G ISAC Nodes & Beamforming Subsystems

Shooting-and-Bouncing Rays (SBR)
Material Dielectric Database
Micro-Doppler Clutter Synthesizer
Full-Wave FEM/FDTD Interlock
Synthetic CSI / Echo Stream Export

Architectural Layers & Waveform Pipelines

Camada 1: Forma de Onda Duplo-Funcional e Banda Base (OTFS / OFDM-Radar / Fractional Fourier Transform / Ambiguity Function): Modulação OTFS e síntese fracionária de chirp alcançando interferência interportadora zero sob severos espalhamentos Doppler.
Camada 2: Massive MIMO e Frontends de Beamforming (140 GHz D-Band / True-Time-Delay (TTD) / Hybrid Analog-Digital Beamforming): Matrizes em fase ativas Sub-THz com mitigação de beam-squint, feixes de dados de comunicação e lóbulos de rastreamento radar simultâneos.
Camada 3: Processamento de Sinal Radar e Nuvem de Pontos 4D (2D-FFT Range-Doppler / MUSIC AoA / CFAR Detection / Micro-Doppler Extraction): Resolução subdecimétrica de alcance e velocidade, detecção CFAR e classificação micro-Doppler de marcha biométrica e hélices de drones.
Camada 4: Orquestração de Sensoriamento de Rede e 3GPP Rel-19 (3GPP Rel-19 ISAC Core / Sensing Function (SF) / Reconfigurable Intelligent Surfaces (RIS)): Redes de radar colaborativas sem células, alocação dinâmica de recursos tempo-frequência equilibrando SLA e tempo de revisita radar.

Sensing Telemetry & Benchmarks: <5 cm (Resolução de Alcance) | 0.1 m/s (Precisão de Velocidade) | <10 ms (Latência de Quadro Radar) | 3GPP Rel-19 (Padrão Global)

GPU 3D Ray-Tracing & Waveform Propagation in ISACSim

Designing millimeter-wave and sub-THz dual-functional waveforms requires exact physical modeling of propagation channels. Urban street canyons, automotive interiors, and smart factories exhibit dense multipath reflections that degrade communications while generating clutter for radar. ISACSim models every ray interaction using physical optics (PO) and the uniform theory of diffraction (UTD) on modern GPU clusters.

Core Engineering Areas

GPU-Accelerated Shooting-and-Bouncing Rays (SBR) Simulation — Simulating billions of electromagnetic ray paths per second across dense urban geometry using NVIDIA OptiX and CUDA RT cores.
Dielectric Material Modeling and Diffuse Surface Scattering — Accurate modeling of real-world materials including reinforced concrete, low-emissivity glass, asphalt, and vegetation at sub-THz frequencies.
End-to-End ISAC Link-Level and System-Level Digital Prototyping — Exporting synthetic channel matrices and raw radar ADC data cubes directly into MATLAB, Python, and C++ baseband algorithmic pipelines.