SkyRadar Blog

Recent cross-university research between the University of Madeira in Portugal, Pontificia Universidad Javeriana and University of Los Andes in Columbia, Carnegie Mellon University in the United States, and Innopolis University in the Russian Federation studied how millennial students learn and what learning methods are best used to successfully engage and teach this generation.

A pilot is getting ready to depart for a particular destination. Before departure, he or she will plan his flight just like any traveler who plans about his journey.

The recent crash of Ukrainian Airlines Flight 752, downed by a surface-to-air (SAM) Iranian missile after a tragic human error from a military RADAR operator underlines dramatically the need for ADS-B, combined with automatic computer-based recognition of RADAR targets.

In air traffic services, two protagonists hold a significant position: Pilots and Air Traffic Controllers. In Air Traffic Services pilots are being instructed and advised by air traffic controllers at almost frequent intervals.

In this article we shall perform the anatomy of a simple but efficient convolutional network (CNN), the LeNet-1 neural network.

For the acquisition of technical and procedural skills, both training institutions and individuals have to play an active role. While talking about the role of an Institution in acquiring these skills, let’s look at Pre Traffic training through simulators and training radars and see how this is embedded into the trainees overall qualification journey.

Millennials are the first generation to spend most of their lives exposed to rapid technological change. Today, this group is extremely tech savvy and tech dependent, and this has affected their preferences for their learning experience.

RADAR data classification mainly relies on convolutional neural networks. In this article, we shall detail and explain the main operations performed by Convolution networks in order to classify RADAR data.

A relevant technique to classify RADAR object is to use a colored 2D map representing range, speed or frequency against time and color the map with power intensity. Here we represent examples of such typical RADAR data.