Improving EO/IR Sensors Using Ansys Optical CFD
Whether in a car, a drone, or a hypersonic vehicle, electro-optical/infrared sensors provide the pivotal connection between the external environment and the internal artificial intelligence of the vehicle. Because these vehicles operate within earth atmosphere, the quality of the EO/IR signal that the sensor receives is affected by atmospheric phenomena such as rain, fog, turbulence, and air compressibility. To improve the performance of the sensors under any conditions, the EO/IR community needs to better understand how the atmospheric effects are distorting the signal. While theoretical analysis and testing of these phenomena are the two approaches typically used for the design of these sensors, a third option is now available: optical computational fluid dynamics (CFD). In optical CFD, computer simulations of the fluid dynamics effects are coupled with the computation of the transmission of the EO/IR signal. This new area of computer simulations, combined with experimentation and analysis, can provide a more comprehensive and cost-effective way to develop better EO/IR sensors. In this webinar, we will discuss the theory behind aero-optics, along with some use cases for fog/rain effects, sensor soiling, atmospheric aero-optics, and infrared signatures.
Valerio Viti, Lead Application Engineer, Ansys
Felipe Mercado, Senior Application Engineer, Ansys
Sandra Gely, Manager Application Engineering, Ansys
What attendees will learn
- Learn how this new area of computer simulations, combined with experimentation and analysis, can provide a more comprehensive and cost-effective way to develop better EOIR sensors.
- Learn about the theory behind aero-optics, and how we use it to understand fog/rain effects, sensor soiling, atmospheric aero-optics, and infrared signatures.