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Walking through the Basic Functions of FreeScopes (Video)

For beginners, it is difficult to start off and to enter the radar world. The pedagogically designed FreeScopes application together with SkyRadar's radars gives easy access to the concept of radars - hands on.

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An Introduction to I/Q Signals

Why do we use I/Q signals in radar technology? Here you find a simple explanation.

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Power Spectral Density Analysis - a Feature in FreeScopes

The power spectral density (PSD) of a signal describes the distribution of power into the frequency components, which compose the resulting signal. Power spectral density is commonly expressed in watts per hertz (W/Hz).

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24 GHz PSR & NextGen 8GHz Pulse Radar - Training Exercise Manual

This document describes exercises for the SkyRadar 24 GHz PSR as well as for the NextGen 8 GHz Pulse Radar.

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SkyRadar NextGen 8 GHz Pulse Radar: Video on the Measurement of the Radar Cross Section in PPI and A-Scope

Radar cross-section (RCS) is the cross section of an object as seen by a radar. A larger RCS indicates that an object is more easily detected.

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2 Years Course - Artificial Intelligence and Machine Learning

This document describes SkyRadar's 2 years course in A.I, including elements of data science and connected sciences for undergraduate courses (Bachelor Programs).

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SkyRadar NextGen 8 GHz Pulse Radar: Video on the Constant False Alarm Rate (CFAR) in PPI and A-Scope

In this video we show how the CFAR can help to display targets clearly in the radar scopes (A-Scopes and PPI).

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Tutorial - Using the NextGen 8 GHz Pulse Module for Artificial Intelligence to Understand Finger-Counting-Based Gestures

In the following we introduce a SkyRadar NextGen 8 GHz Pulse application for artificial intelligence. In this application students learn how neural networks / artificial intelligence, and especially Convolution Neural networks can be applied to perform the automatic detection of a human gesture by using RADAR technologies.

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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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