FreeScopes 7 allows students to read live raw data from radar sensors and to assemble their radar block diagrams on the screen, including A-Scopes, B-Scopes and the PPI.
Read morewritten on Feb 11, 2021
by Ulrich Scholten, PhD
written on Jul 14, 2020
by Ulrich Scholten, PhD
written on Jun 15, 2020
by Dennis Vasilev
written on May 20, 2020
by Ulrich Scholten, PhD
written on Apr 04, 2020
by Martin Rupp
written on Mar 31, 2020
by Martin Rupp
written on Feb 02, 2020
by Martin Rupp
FreeScopes 7 allows students to read live raw data from radar sensors and to assemble their radar block diagrams on the screen, including A-Scopes, B-Scopes and the PPI.
Read moreSkyRadar suggests packaged solutions adapted on various requirements and budgets.
Read moreAfter the Internet of Pages and the Internet of Services, now the Internet of Things is emerging. This article looks at the central role that radar is expected to find in many IoT applications.
Read moreCOVID-19 and limited travelling hampered important projects during the last months. SkyRadar set up a simple and easy to handle delivery and training procedures.
Read moreThis document builds on our curriculum and makes suggestions on how to teach with the SkyRadar Pulse, PSR and the FMCW.
This document suggests a curriculum to teach with the SkyRadar Pulse, PSR and the FMCW. It is a practically oriented curriculum for bachelor studies in engineering universities and air traffic control personnel (ATCO and ATSEP).
Read moreIn this article, we shall detail the main results and implementation regarding the processing and classification of RADAR objects using Machine Learning (M.L) techniques such as Hidden Markov Models, Neural Networks or others.
Read moreIn the present tutorial, we shall explain what are the Support Vector Machines (SVMs) and how the kernel-based SVM classifiers are working.
In the first part of this series, we introduced the general concepts needed for understanding the Hidden Markov Models Classifiers. Namely: Bayesian Logic, The concept of Bayesian Classifiers and Bayesian networks. All these notions are now grouped to form a new type of classifier which can accurately model and classify time-series data such as the RADAR data.
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SkyRadar develops and distributes radar training systems (CW, FMCW, Pulse, Doppler, Synthetic Aperture Radar, FMCW, MTI, MTD, Primary Radars, SSR, etc.) for universities and academies.
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