Introduction to Radar Processing and Deep Learning

The chapter introduces the fundamentals of radar signal processing, and how a target is detected to track and explains the rationale behind it. The chapter introduces deep learning, its evolution over time, and the different facets that make deep learning so powerful. Various components of conventional convolutional neural networks, recurrent neural network, fully connected layers in relation to various tasks such as classification, localization, segmentation are introduced.