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With this latest release of RF channel modeler, engineers can extend their RF channel modeling aspects beyond communications systems to now include simulated radar system performance. Utilizing the same modeling and simulation approach as was previously utilized in RFCM, engineers can now define radar properties and utilize the embedded gpu-enabled shooting and bouncing ray capabilities to produce highly accurate synthetic radar scenes as well as access the underlying channel-level signal metrics, providing an incredibly robust simulation workflow for exploring feasibility of radar systems to image, capture and process data produced by tracking or imaging radar systems. Engineers can manufacture complex situations representing ground moving target scenarios or simply explore SAR imaging situations and leverage the high-fidelity synthetic data results to better understand and predict that systems performance when faced with real world situations and conditions. This synthetic data can be further leveraged for AI/ML efforts, testing proprietary detection algorithms and target identification routines, and a host of other benefits by having access to large, realistic data sets which are able to be created to represent any number of simulated conditions and circumstances that may otherwise be difficult or even impossible to produce prior to real world deployments.
