Radar signals features for machine learning

1. What is radar in machine learning?
2. What can radar detect?
3. What is radar target classification?

What is radar in machine learning?

Radar Target Classification

The machine learning approach uses wavelet scattering feature extraction coupled with a support vector machine. Two common deep learning approaches are transfer learning using SqueezeNet and a Long Short-Term Memory (LSTM) recurrent neural network.

What can radar detect?

Radar is a radiolocation system that uses radio waves to determine the distance (ranging), angle, and radial velocity of objects relative to the site. It is used to detect and track aircraft, ships, spacecraft, guided missiles, and motor vehicles, and map weather formations, and terrain.

What is radar target classification?

In radar target classification methods, the main goal is to distinguish targets by using similarities between the features of test target and known (candidate) targets. These features are generally obtained by processing scattered signals from targets in noncooperative target recognition [Skolnik, 2001; Tait, 2009].