Remcom announced diffuse scattering from rough surfaces and transmission through materials in the latest release of WaveFarer®, its high fidelity radar simulation software for drive scenario modeling and indoor detection applications. New features reveal backscatter from road surfaces and vehicle interiors, elevating realism of simulations by providing a more accurate representation of conditions in the real world.

In addition, several new tools increase accuracy for target detection, including scripts for setting up simulations with chirp waveforms and post-processing utilities for predicting Doppler velocity and generating range-Doppler plots.

The Automotive Radar version of WaveFarer facilitates testing for sensor placement, signal processing, and target identification, enabling OEMs and Tier 1 suppliers to virtually test and refine sensors earlier in the design process. The new diffuse scattering model further increases fidelity by simulating how paths interact with rough surfaces on terrain and structures, revealing the impact on power, phase and polarization of propagating waves. Key effects such as complex impulse response, delay spread and increased cross-polarization of received signals can be visualized and incorporated into results. By taking into account surface variations that could be caused by common road phenomena like gravel or crumbling pavement, WaveFarer provides superior modeling of the real world environment.

The update also adds the ability to calculate transmission through materials, including windows, walls, composites and more. WaveFarer analyzes scattering effects that would naturally occur while a car is in motion, such as waves passing through glass and interacting with the vehicle’s interior or through a bumper and reflecting off the metal chassis. Another use case is indoor radar sensor testing, where insulated walls, doors, furniture and other obstructions must be considered.

The new radar simulation enhancements are available in the Standard and Automotive Radar versions of WaveFarer.