A Bayes Risk-Based Cost Function to Allocate Scan Time for Object Detection

Advancements in radar technology such as phased array antennas, digital beamforming, and adaptable waveform generation have led to the flexibility in controlling radar resources such as scan time, beamwidth and bandwidth during a radar mission. This new flexibility has led to a new research topic, radar resource management. Radar resource...

A Framework to Resolve Ambiguities in a Multitarget Environment

Ambiguities are an often encountered nuisance in signal processing and are the source of some of the fundamental trade-offs encountered in radar systems. The goal of this thesis is to extract unambiguous information about targets by combining a limited amount of measurements on a video integration level. A novel framework is proposed to reach...

Multilateration based ADS-B validation using a Particle Filter

Automatic Dependent Surveillance Broadcast (ADS-B) allows aircraft to broadcast their own position, speed, altitude, and other information to ground stations and other nearby aircraft. This information is then used by air traffic control for situational awareness, and collision avoidance. ADS-B spoofing is possible due to the lack of...

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...