SkyRadar Blog

Deep Learning Algorithms produce better-than-human results in image recognition, generating a close to zero fault rate [1]. This article shows how this works in radar technology and explains, how Artificial Intelligence can be taught in University Education and NextGen ATC qualification.

More and more users want to access our radar raw data and read out IQ data directly. Having the raw data in a well digestible data format makes it easy to do the further treatment in any numerical computing environment. Research on new algorithms on real-time data becomes comfortable and powerful.

Technology is always changing. A large percentage of it will make our lives easier by enhancing how we learn or go about our daily jobs in ways that were never thought before. Artificial intelligence and machine learning stand at the forefront of technology’s future, including their use in radar technology. The purpose of this article is to define what AI and machine learning are, how they relate to each other and what their role may be in radar technology.

This article describes signals and operation of an Instrument Landing System ILS, Distance Measuring Equipment DME and a VHF Omnidirectional Range (VOR). This article requires an advanced knowledge of mathematics.

Radar technology is the spine of Air Traffic Control. But its success story is far from saturated. During the last 10 years radar started entering automotive technology, manufacturing and even e-health. This article gives a brief history of radar technology, from the first steps around Heinrich Hertz until now. 

The principle of a radar system consists of emitting a wave and receiving the reflected wave that was reflected by an object (target).