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.

SkyRadar suggests packaged solutions adapted on various requirements and budgets.

After 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.

COVID-19 and limited travelling hampered important projects during the last months. SkyRadar set up a simple and easy to handle delivery and training procedures.

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).

In 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.

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.