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FreeScopes Recording and Replay Features (Video)

SkyRadar now offers a recording and replay feature to record IQ data log files from live recordings, or from a blend of live data and superimposed simulated data (e.g. disturbances or deception through jamming).

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NextGen Pulse Training Radar & FreeScopes 7 - Beautiful Images in the PPI & a Thrilling Technology (Video)

We walked in front of a rotating radar. Look at the impressive images and the toolset for education in ATSEP, vocational qualification and university education.

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FreeScopes Version 7 is available now! With Modular Radar Block Diagrams and Lots of New Features

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.

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Packaged Solutions and Transparent Pricing

SkyRadar suggests packaged solutions adapted on various requirements and budgets.

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Understanding the Internet of Things and the Key Role, Radar Is Expected To Play

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.

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SkyRadar - Simple Deliveries and Training in Times of COVID-19 and of Restricted Travelling

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.

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Comprehensive Training Manual

This document builds on our curriculum and makes suggestions on how to teach with the SkyRadar Pulse, PSR and the FMCW.

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Curriculum for NextGen 8 GHz Pulse, 24 GHz PSR and 24 GHz 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).

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Tutorial: Overview of Results in the Domain of Classifications of RADAR Objects Using Hidden Markov Models, Neural Networks and Other M.L. Techniques

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.

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