The ability to discriminate between ballistic missile warheads and confusing objects is an
important topic from different points of view. In particular, the high cost of the interceptors …

With the deployment of radar in versatile scenarios and a wide variety of potential targets,
demand for automatic classification of various targets is increasing. The wide variety of radar …

A key challenge for radar surveillance systems is the discrimination of ground‐based
targets, especially humans from animals, as well as different types of human activities. For …

This paper describes the first feasibility study using dynamic time warping (DTW) to classify
the micro-Doppler signature (μ-DS) for radar automatic target recognition (ATR). Real radar …

The micro-Doppler phenomenon in the echo signal received from a ballistic target (BT) with
micro-motion is commonly used to discriminate BTs such as warheads and decoys. The joint …

A comprehensive evaluation of a naive Bayesian classifier used for micro-Doppler signature
(mu-DS) radar automatic target recognition has been performed. An initial estimate of …

Radar micro-Doppler signatures are of great potential for identifying properties of unknown
targets. An effective tool to extract information from the signatures is time-frequency analysis …

In security surveillance at the perimeter of critical infrastructure, such as airports and power
plants, approaching objects have to be detected and classified. Especially important is to …

The radar is expected to go beyond the traditional functionality of range and speed
estimation to target classification. The complementary use of radar and video is becoming …

Classification of targets using their micro-Doppler signatures has attracted a growing interest
in recent years. In addition to their main bulk translation, targets may exhibit additional …