»Radar in Action« Machine Learning for Radar Applications

[@w4gap]

One of the more interesting machine learning applications. Thanks for sharing!

[@msppapq3439]

Thank you for sharing your insight!

[@gavrilarazvanmihai5908]

Hi!! I really appreciate your work. I have to do a matlab application about how neural networks are functioning in ambiguity function of radar. You know something about this?

[@FraunhoferFHR]

Thank you for the question. It depends what you want to do with the ambiguity function of the radar. If you want to use it to classify the waveform, the paper "Ambiguity Function Based Radar Waveform Classification and Unsupervised Adaptation using Deep CNN Models" by Pavel Itkin and Nadav Levanon might be a good starting point.

[@jeanpaulberrios5024]

Thanks for sharing

[@techgeek1807]

continuous radar or pulsed? which one is better?

[@FraunhoferFHR]

That is a question with no clear answer, since both systems have their benefits. CW Systems typically require less power, are more lightweight and are widespread for example in the automotive context. Pulsed systems require a large transmit power, but with this, they often give a better SNR and are used especially in long-range applications, like air traffic surveillance. This is just one point when comparing both principles and the decision which system is used depends on the requirements that must be fulfilled.