Ansys Digital Mission Engineering’s Post

Join us for an upcoming webinar and understand more about radar scattering physics of complex targets from dynamic vehicles to urban scenes to support ISAR and SAR data generation. Learn how radar signals interact with complex targets to expose the various scattered radar returns. Register at the link below! #RFChannelModeler #SyntheticRadarData

Join us for an upcoming webinar and understand more about radar scattering physics of complex targets from dynamic vehicles to urban scenes to support ISAR and SAR data generation. Learn from John Ploschnitznig and Washington Wedderburn how radar signals interact with complex targets to expose the various scattered radar returns. Register at the link below! #RFChannelModeler #SyntheticRadarData

To My FA&D Contacts: This webinar will fill-up quickly! On Sept 12th @ 11:00 AM Eastern, please join Ansys in learning how to model wideband coherent radar signature analysis to understand the radar scattering physics of complex targets. From dynamic vehicles to urban scenes, supporting ISAR and SAR data generation will support #SyntheticSceneData to further develop downstream methods for better training #AIML algorithms for #AutonomousFlight, #ATR, #SWARM and more.

Automating Object Detection in Space and Simulating Robotic Motion in Zero Gravity: https://bit.ly/3BqLVY1

In this article, the PO solver in Remcom's WaveFarer radar simulation tool is used to simulate back-scatter from the chest of an animated human model. Predictions are compared against 28.5 GHz measurements collected by the National Institute of Standards and Technology (NIST). #PhysicalOptics #RayTracing #HumanSensing #mmWave

🚀 Exciting news! Check out this insightful blog post on "Automatic dimensionality reduction of Twin-in-the-Loop Observers." State-of-the-art vehicle dynamics estimation techniques face a common challenge of independent, simplified filtering modules. Here's a proposed solution: a unified Twin-in-the-Loop (TiL) Observer architecture with a full-fledged vehicle simulator. The paper explores the use of Bayesian Optimization to tune the high-complexity observer, addressing the optimization problem's high dimensionality. Discover the supervised and unsupervised learning approaches validated for speed and yaw-rate estimation on real-world data. Read the full post here: https://bit.ly/48NI2bd. #VehicleDynamics #ObserverArchitecture #BayesianOptimization

IMU and GPS fusion algorithm principle

🛩️🪽⛽🧠 This study presents a methodology to examine #fuelsloshing to find out the best #baffledesign 🎯 within a #tank. The #digitaltwin 💻 of the #aircraft tank design is created with #Simcenter #Amesim. The 1D results with many parameter combinations 📊 are then used to train #NeuralNetworks to identify the designs of interest 📐. To then run some refined #3D #CFD simulations 💧 with #Simcenter #starccmp. 📰 https://lnkd.in/eUdMV4MK 🔎 Some extracts : “Jet fuel in aircraft fuel tanks moves due to acceleration resulting from maneuvers. The movement mentioned here directly impacts the Center of Gravity (CG).” “The 1D simulations, which model the fuel movement, were used to understand the general behavior of the fluid in the tank.” “As a 1D modeling tool, the Siemens Amesim solver is chosen to establish a 1D model of the wing fuel tank.” “A simulation set is created utilizing five parameters: barrier usage, volume fraction, cutout diameter, number of cutouts, and cutout location.” “CFD calculations simulating turbulent fluid flow in three dimensions were used to confirm the results of the 1D simulations and provide more detailed information.” ✔️ Some outcomes: “As a result of the weight interpretation of the neural network, it has been clearly shown that the barrier usage of the tank has the strongest importance for both CG deviation and retreat time.” “The 1D simulations are compared with CFD calculations of relevant cases, and there is acceptable agreement between them.” “Thus, 1D simulations can be assumed to be reliable unless extreme maneuver conditions are implemented into analyses.” #Simcenter #SystemSimulation #Amesim #mechatronics #aviation #aerospace #fueltanks #flightdynamics #CAD #3D #CFD #starccm #AI #neuralnetworks #DNN #deepneuralnetworks #digitaltwin #EngineerInnovation

WaveFarer uses near-field propagation in automotive radar simulations to increase accuracy. Read how this simulation software combines traditional far-field RCS with urban propagation analysis to help automotive radar engineers. #engineers #automotive #radar #simulationsoftware #propagation #RayTracing