SMIRK is a pedestrian automatic emergency braking system that facilitates research on safety-critical systems embedding machine learning components. As fully transparent driver-assistance system, can support future trustworthy AI systems, e.g., verification & validation, requirements engineering, and testing. implemented for the simulator ESI Pro-SiVIC with core components including radar senso...

An airborne radar simulator for an X-band echo signal was implemented and numerically verified. The can consider weather conditions over a large area use measured S-band data as input. A scheme is presented the conversion of to one. amplitude time delay due particles be theoretically calculated on basis reflectivity. dynamics platform clutter were modeled using Doppler frequency shift in signal...

The capabilities of Interferometric SAR (IFSAR) to provide Digital Elevation Model is well known and have been highlighted with the recent Shuttle Radar Topographic Mission. Nevertheless, layovers, shadows, multiple bounces and surfaces discontinuity strongly reduce the accuracy of the extracted shapes in urban areas with high-resolution systems. Due to the number and the complexity of uncontro...

The purpose of this work is, starting from a close tracking of the basic electromagnetic processes, to propose a simulator enabling a better understanding of the radar images of urban areas. An improved understanding of the radar images formation processes in this case, should lead to a better knowledge of the potentialities of the SAR imagery of urban areas. We argue that finite-difference tim...

Microphysics parameterization becomes increasingly important as the model grid-spacing increases toward convection-resolving scales. The performance of several partially or fully twomoment (2M) schemes within the Weather Research and Forecast (WRF) model Version 3.5.1, chosen because of their well-documented advantages over one-moment (1M) schemes, is evaluated with respect to their ability in ...

Using a non-uniformly distributed aperture radar system for forming a SAR image will result in data correlations between the SAR image resolution cells. Thus, this requires that a more robust filter than the Matched Filter, i.e. the MMSE or Wiener Filter to be used in the receiver processing. As the Wiener Filter involves a computationally expensive matrix inverse operation, it can be avoided b...

Polarimetric radar measurements at C-band require correction for propagation effects before using them for rainfall retrieval. Since differential phase shift Kdp is affected by the spatial variation of the backscattering differential phase shift δ, a new neural-network estimation technique is applied to remove δ effects on Kdp estimate. In this study we also explore a new hybrid iterative techn...

[1] We present the Radio Occultation Scintillation Simulator (ROSS), which uses the multiple phase screen method (MPS) to simulate the forward scatter of radio waves by irregularities in the equatorial ionosphere during radio occultation experiments. ROSS simulates propagation through equatorial plasma bubbles which are modeled as homogeneous electron density fluctuations modulated by a Chapman...

The use of weather radars is relevant for both precipitation rate retrieval and data assimilation purposes because of their capability to provide measurements of dynamical and microphysical states at high temporal and spatial resolutions. Nevertheless, a wide range of uncertainty sources affects radar measurement and its products, challenging their reliability. Radar simulation models have prov...

It is well known that in order to obtain meaningful results, radar measurements must be carried out according to specific rules. This requirement is even more strict for polarimetric measurements: a non accurate estimation of their values reflects usually in large discrepancies of the meteorological quantities of interest (e.g. rain intensity). Moreover, when polarimetric measurements are used ...