Multi-target detection using Relevance Vector Machine

The main purpose of a radar is to detect, recognize, and track objects of interest. When it is known that only a single target is present, the matched filter is proven to be optimal detector. However, in practice, a radar scene often consists of multiple targets. For example, in air surveillance and monitoring applications, multiple aircrafts...

Radar Resource Management for Multi-Target Tracking using Model Predictive Control

With modern multi-function radars becoming more flexible, handling the limited amount of resources of these radars becomes increasingly important. In this thesis the radar resource management (RRM) problem in a multi-target tracking scenario is considered. Partially observable Markov decision processes (POMDPs) are used to describe each tracking...

Improvement of Hybrid Codes for MIMO radar using multi-pulse waveforms and signal processing: Theoretical analysis and experimental evaluation

According to literature, MIMO radars often use orthogonal waveforms on their different channels to achieve a wide angular beam and so-called colored transmission. The generation of orthogonal signals is very difficult and true orthogonality cannot be achieved in practice. The Circulating Codes provide a simplified alternative to orthogonal...

Design of a particle filter: for robust target tracking in object-induced clutter

An Analysis of Deep Learning for Human Gait Classification in Radar

Over the past five years, deep learning techniques have led to astounding breakthroughs in many areas, like speech recognition and computer vision applications. The application of deep learning in the radar domain has however been rather limited. The merit of using deep learning techniques for the purpose of human gait classification in radar is...