RadarFX SAR
MAK ONE Synthetic Aperture Radar Simulation
Synthetic Aperture Radar, or SAR, is a side-looking radar system that uses the flight path of an airborne platform to simulate an extremely large antenna or aperture electronically, and from that generate high-resolution remote sensing imagery.
Training for reconnaissance, surveillance, and targeting
RadarFX SAR is a server that produces SAR images of a simulated environment that can be populated with simulation activity (see VR-Link and VR-Forces). This system allows you to develop training applications for reconnaissance, surveillance, and targeting that benefit from the unique characteristics of SAR images without actually deploying an airborne system.
RadarFX SAR supports both Strip SAR, in which the track direction is linear and Spot SAR, in which the track direction rotates around a fixed point on the ground. It also supports inverse synthetic aperture radar (ISAR).
RadarFX SAR is a great value for highly accurate, commercially available, radar image generation.
A smart marriage of physics and graphics
RadarFX SAR combines JRM Technologies’ proven physics-based signature simulation with VR-Vantage’s advanced rendering architecture. RadarFX SAR produces accurate SAR scenes using radar returns from the terrain and radar cross sections from vehicles, munitions, and natural and cultural features. The resulting scenes are served to your applications to be presented to users in the proper training context. One RadarFX SAR Server can supply images for any number of client applications that request SAR images.
MAK ONE is the simulation platform of choice by governments and system integrators around the world as they join disparate simulations into common synthetic environments.
Explore how VR-Vantage fits into these systems by sliding through the illustrations below.
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Key Features
SAR Shadows
Leading edge brightness
Down-range/Cross-range resolution effects
RF path attenuation, atmospheric scattering, and absorption noise
Target radar cross-sections from imported RCS or FIELD files
Component scattering and coherent summation using Jones Matrix (for resonances and nulls) Polarization
Terrain areal RCS from Ulaby-Dobson parameters embedded in spectral material property files
Choice of gain distribution type and directivities, for transmitter and receiver separately
Sensor system noise as function of bandwidth and temperature
Doppler spatial effects
Development Options
Options for the development and customization of sensor enabled VR-Vantage applications are also available including a sensor development toolkit as well as a semi-automated material classification tool – GenesisMC.
