High-Fidelity Channel Modeling for Coherent Synthetic Radar Data

Overview

Model wideband coherent radar signature analysis to understand radar scattering physics of complex targets. You can support ISAR and SAR data generation from dynamic vehicles to urban scenes.

Radar Signature Analysis is the art of understanding how radar signals interact with complex targets to expose the various scattered radar returns.  Radar images are not literal images like those generated by electro-optical and infrared sensors; they are a mapping of radar scattering returns in range and doppler space.  Ansys has modified RF Channel Modeler, launched in March 2024, to create synthetic radar data for any collection geometry and for any geospatial domain. Additionally, it will support both Synthetic Aperture Radar (SAR) and Inverse SAR (ISAR) data generation.  Merging Ansys Systems Toolkit (STK), with capabilities to define the collection scenario, with Ansys Perceive EM which can seamlessly support synthetic data generation in the rawest I&Q form, you can now create data associated with the collection scenario including Frequency Response, Range Time Intensity (RTI), Doppler Time Intensity (DTI), and Wideband Radar Images. This complex data and corresponding products support:

• Data analysts for event recreation and training
• Collection Planners to optimize expensive test plans
• Development of AI/ML algorithms requiring massive amounts of realistic signature data
• RFCM-Radar leverages GPU-Acceleration to create data in near real time 

What attendees will learn

• Understand radar scattering physics of complex targets from dynamic vehicles to urban scenes to support ISAR and SAR data generation
• How radar signals interact with complex targets to expose the various scattered radar returns

This webinar is hosted by Ansys. You can register via their website.