Target identification for radar applications is an area that is gaining attention. To identify targets, we need to classify the radar waveforms. When using Machine Learning and Deep Learning for the classification a common preprocessing step is to extract meaningful features from the raw data, e.g. using time frequency analysis, which can be input to a classifier. While effective, this procedure can require effort and domain knowledge to yield an accurate identification.
In this webinar, we will demonstrate data synthesis techniques and train Machine Learning and Deep Learning networks for radar applications. The presentation will explain:
To showcase the possibilities and challenges with using Machine Learning and Deep Learning for target identification we will look at two application examples: